Publications

Consolidated Publication List pdf

 

Publication List Per Working Group

Working Group 1

A) Joint publications (with other MemoCIS members) in international peer reviewed journals and conference.

1. Dalibor Biolek, Sandro Carrara, Elisabetta Chicca, Fernando Corinto, Julius Georgiou, Bernabé Linares-Barranco, Themis Prodromakis, Sabina Spiga, Ronald Tetzlaff, “EU COST Action IC1401–Pushing the Frontiers of Memristive Devices to Systems”, Proceedings of the Melecon Conference in Cyprus 2016

 

2. A. Ascoli, V. Senger, R. Tetzlaff, N. Du, O. G. Schmidt, and H. Schmidt “BiFeO3 memristor-based secure encryption of medical data”, ISCAS, 2016

 

3. A. Ascoli, S. Slesazeck, H. Mähne, R. Tetzlaff, and T. Mikolajick, “Unfolding Principle gives insight into physics behind threshold switching in a NbO memristor”, IEEE proceedings of MEMRISYS, Cyprus, 2015

 

4. S. Slesazeck, H. Mähne, H. Wylezich, A. Wachowiak, J. Radhakrishnan,A. Ascoli, R. Tetzlaff, and T. Mikolajick, “Physical model of threshold switching in NbO2 based memristors”, www.rsc.org/, DOI: 10.1039/C5RA19300A, 2015

 

5. A. Thomas, S. Niehörster, S. Fabretti, N. Shepheard, O. Kuschel, K. Küpper, J. Wollschläger, P. Krzysteczko, Elisabetta Chicca, "Tunnel junction based memristors as artificial synapses," Frontiers in Neuroscience 9, 2015, p. 241

 

6. H. Mostafa, A. Khiat, A. Serb, C. Mayr, G. Indiveri, T. Prodromakis, “Implementation of a spike-based perceptron learning rule using TiO2−x memristors”, Frontiers in Neuroscience, vol. 9, no. 357, 2015

 

7. R. Berdan, E. Vasilaki, A. Khiat, G. Indiveri, A. Serb, and T. Prodromakis, “Emulating short-term synaptic dynamics with memristive devices”, Scientific Reports, 6, 18639, 2016

 

8. S. Brivio, E. Covi, A. Serb, T. Prodromakis, M. Fanciulli, and S. Spiga, “Gradual set dynamics in HfO2-based memristor driven by sub-threshold voltage pulses” IEEE Proceedings of Memrisys 2015

 

9. E. Covi, S. Brivio, A. Serb, T. Prodromakis, M. Fanciulli, and S. Spiga, “HfO2-based Memristors for Neuromorphic Applications”, IEEE ISCAS 2016, p.393

 

10. C. Dias, J. Ventura. P. Aguiar, “Memristive-based neuromorphic applications and associative memories”, accepted in Memristors, Memristive Devices and Systems, Springer (2017).

 

11. C. Dias, H. Lv, R. Picos, P. Aguiar, S. Cardoso, P. P. Freitas, J. Ventura, “Bipolar resistive switching in Si/Ag nanostructures”, Applied Surface Science 424, 122–126 (2017).

 

12. E. Covi, S. Brivio, A. Serb, T. Prodromakis, M. Fanciulli, and S. Spiga, ‘Analog memristive synapse in spiking networks implementing unsupervised learning’, Front. Neurosci., vol. 10, p. 482, Oct. 2016.

 

13. S. Brivio, E. Covi, A. Serb, T. Prodromakis, M. Fanciulli and S. Spiga, ‘Experimental study of gradual/abrupt dynamics of HfO2-based memristive devices’, Appl. Phys. Lett., vol. 109, no. 13, p. 133504, Sep. 2016.

 

14. Isha Gupta, Alexantrou Serb, Ali Khiat, Ralf Zeitler, Stefano Vassanelli & Themistoklis Prodromakis, ‘Real-time encoding and compression of neuronal spikes by metal-oxide memristors’, Nature Comms, 2016.

 

15. D Carta, P Guttmann, A Regoutz, A Khiat, A Serb, I Gupta, A Mehonic, M Buckwell, S Hudziak, A J Kenyon and T Prodromakis, ‘X-ray spectromicroscopy investigation of soft and hard breakdown in RRAM devices’, Nanotechnology, vol. 27, 2016.

 

16. V. Milo, D. Ielmini, and E. Chicca, “Attractor networks and associative memories with STDP learning in RRAM synapses,” IEDM Tech. Dig. 263-266 (2017).

 

Working Group 1

B) Related Publications in international peer reviewed journals and conference arising directly or indirectly through the COST Action.

1. S. Ambrogio, S. Balatti, V. Milo, R. Carboni, Z. Wang, A. Calderoni, N. Ramaswamy, and D. Ielmini, “Neuromorphic learning and recognition with one-transistor-one-resistor synapses and bistable metal oxide RRAM,” IEEE Trans. Electron Devices 64 (2016). DOI: 10.1109/TED.2016.2526647

 

2. S. Ambrogio, N. Ciocchini, M. Laudato, V. Milo, A. Pirovano, P. Fantini and D. Ielmini, “Unsupervised learning by spike timing dependent plasticity in phase change memory (PCM) synapses,” Front. Neurosci. 10:56 (2016). DOI: 10.3389/fnins.2016.00056

 

3. S. Balatti, S. Ambrogio, R. Carboni, V. Milo, Z.-Q. Wang, A. Calderoni, N. Ramaswamy, and D. Ielmini, “Physical unbiased generation of random numbers with coupled resistive switching devices,” IEEE Trans. Electron Devices 64 (2016).

 

4. S. Ambrogio, S. Balatti, V. Milo, R. Carboni, Z. Wang, A. Calderoni, N. Ramaswamy, D. Ielmini, “Novel RRAM-enabled 1T1R synapse capable of low-power STDP via burst-mode communication and real-time unsupervised machine learning,” Symp. VLSI Tech. Dig. (2016).

 

5. A. Ascoli, R. Tetzlaff, and L. O. Chua, “ Continuous approximations for robust simulations of a TaO memristor model”, NDES, 2015

 

6. A. Ascoli, R. Tetzlaff, and L. O. Chua, “Robust simulation of a TaO memristor model”, RadioEngineering, June 2015, DOI: 10.13164/re.2015.0001

 

7. Milutin Nešic, Stefan Ivanovic, Amela Zekovic, Slavica Marinkovic, Branko Tomcik, Bratislav P. Marinkovic, and Borislav Hadžibabic, “Emulation of a memristor element using a programmable microcontroller device”, Proceedings of Papers 2nd Int. Conf. on Electrical, Electronic and Computing Engineering (IcETRAN 2015), June 8-11, 2015, Silver Lake (Srebrno Jezero), Serbia, Eds Z. Nikolic and V. Potkonjak, ISBN: 978-86-80509-71-6

 

8. L. M. Guerra, C. Dias, J. Pereira, H. Lv, S. Cardoso, P. P. Freitas, J. Ventura, “Unipolar Nonvolatile Resistive Switching in Pt/MgO/Ta/Ru Structures Deposited by Magnetron Sputtering” , accepted in J. Nanosci. Nanotech.

 

9. Stefano Brivio, Jacopo Frascaroli, and Sabina Spiga, "Role of metal-oxide interfaces in the multiple resistance switching regimes of Pt/HfO2/TiN devices", Applied Physics Letters 107, 023504 (2015)

 

10. Jacopo Frascaroli, Flavio Giovanni Volpe, Stefano Brivio, and Sabina Spiga, "Effect of Al doping on the retention behavior of HfO2 resistive switching memories", Microelectronic Engineering 147, 104-107 (2015)

 

11. E. Covi, S. Brivio, M. Fanciulli, and S. Spiga, "Synaptic potentiation and depression in Al:HfO2-based memristor" , Microelectronic Engineering 147, 41-44 (2015)

 

12. J. Xing, A. Serb, A. Khiat, R. Berdan, H. Xu and T. Prodromakis, "An FPGA-Based Instrument for En-Masse RRAM Characterization With ns Pulsing Resolution," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 6, pp. 818-826, June 2016.

 

13. S. Cortese, A. Khiat, and T. Prodromakis, “An amorphous titanium dioxide metal insulator metal selector device for ReRAM crossbar arrays with tunable voltage margin”, Applied Physics Letters, 108, 033505, 2016

 

14. D. Carta, A. Hitchcock, P. Guttmann, A. Regoutz, A. Khiat, A. Serb, I. Gupta, and T. Prodromakis, “Spatially resolved TiOx phases in RRAM conductive nanofilaments using soft X-ray spectromicroscopy”, Scientific Reports, vol. 6, 21525, 2016

 

15. Regoutz, I. Gupta, A. Serb, A. Khiat, F. Borgatti, T.-L. Lee, C. Schlueter, P. Torelli, B. Gobaut, M. Light, D. Carta, S. Pearce, G. Panaccione, T. Prodromakis, “Role and optimization of the active oxide layer in TiO2-based RRAM”, Advanced Functional Materials, doi:10.1002/adfm.201503522, 2015

 

16. Serb, A. Khiat, and T. Prodromakis, “An RRAM biasing parameter optimiser”, IEEE Trans. on Electron Devices, vol. 62, no.11, 2015.

 

17. Serb, W.R. White, C. Papavassiliou and T. Prodromakis, “Practical determination of individual element resistive states in selectorless RRAM arrays”, IEEE Trans. CAS-I, vol. 62, no. 11, 2015

 

18. H. Mostafa, A. Khiat, A. Serb, C. Mayr, G. Indiveri, T. Prodromakis, “Implementation of a spike-based perceptron learning rule using TiO2−x memristors”, Frontiers in Neuroscience, vol. 9, no. 357, 2015

 

19. R. Berdan, A. Serb, A. Khiat, A. Regoutz, C. Papavassiliou, and T. Prodromakis, “A μ-controller-based system for interfacing selector-less RRAM crossbar arrays”, IEEE Transactions on Electron Devices, vol. 62, no. 7, 2015.

 

20. M. Trapatseli, D. Carta, A. Regoutz, A. Khiat, A. Serb, and T. Prodromakis, “Conductive AFM investigation of switching thresholds in titanium dioxide thin films”, The Journal of Physical Chemistry C, vol. 119, no. 21, 2015.

 

21. Gupta, A. Serb, R. Berdan, A. Khiat, A. Regoutz and T. Prodromakis, “A cell classifier for RRAM process development”, IEEE Trans. CAS-II, vol. 62, no. 7, 2015.

 

22. Q. Li, A. Serb, H. Xui and T. Prodromakis, “A Memristor SPICE Model Accounting for Synaptic Activity Dependence", PLOS One, 10 (3), 2015.

 

23. D. Carta, G. Mountjoy, A. Regoutz, A. Khiat, A. Serb, and T. Prodromakis, “X-ray absorption spectroscopy study of TiO2-x thin films for memory applications”, The Journal of Physical Chemistry C, vol. 119, no. 8, 2015.

 

24. R. Berdan, E. Vasilaki, A. Khiat, G. Indiveri, A. Serb, and T. Prodromakis, “Emulating short-term synaptic dynamics with memristive devices”, Scientific Reports, 6, 18639, 2016

 

25. Ioulia Tzouvadakia, Pawan Jolly, Xiaoling Lu, Sven Ingebrandt, Giovanni de Micheli, Pedro Estrela, Sandro Carrara, “Label-Free Ultrasensitive Memristive Aptasensor”, Nano Letters, 16 (2016), pp 4472–4476

 

26. Ioulia Tzouvadaki, N. Madaboosi, Irene Taurino, V. Chub, J.P. Conde, G. De Micheli, S. Carrara, “Study on the Bio-functionalization of Memristive Nanowires for Detection of Prostate Cancer Biomarkers”, RSC Journal of Materials Chemistry B 4(2016) 2153-2162

 

27. A. Mehonic & A.J. Kenyon, “Emulating the Electrical Activity of the Neuron Using a Silicon Oxide RRAM Cell”, Frontiers in Neuroscience, 10, 57 (2016)

 

28. E. Covi, S. Brivio, J. Frascaroli, M. Fanciulli, S. Spiga, “(Invited) Analog HfO2-RRAM Switches for Neural Networks”, in ECS Transactions, 2016.

 

29. Ali Khiat, Peter Ayliffe & Themistoklis Prodromakis, ‘High Density Crossbar Arrays with Sub- 15 nm Single Cells via Liftoff Process Only’, Scientific Reports, 6, 2016.

 

30. Daniela Carta, Iulia Salaoru, Ali Khiat, Anna Regoutz, Christoph Mitterbauer, Nicholas M. Harrison and Themistoklis Prodromakis, “Investigation of the Switching Mechanism in TiO2‑Based RRAM: A Two-Dimensional EDX Approach”, Applied Materials & Interfaces, vol. 8, 2016.

 

31. Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein & Themis Prodromakis, ‘Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses’, Nature Comms, vol. 7, 2016.

 

32. A. Bricalli, E. Ambrosi, M. Laudato, M. Maestro, R. Rodriguez, and D. Ielmini, “Resistive switching device technology based on silicon oxide for improved on-off ratio – Part I: Memory devices,” IEEE Trans. Electron Devices 65, 115-121 (2018). DOI: 10.1109/TED.2017.2777986.

 

33. A. Bricalli, E. Ambrosi, M. Laudato, M. Maestro, R. Rodriguez, and D. Ielmini, “Resistive switching device technology based on silicon oxide for improved on-off ratio – Part II: Select devices,” IEEE Trans. Electron Devices 65, 122-128 (2018). DOI: 10.1109/TED.2017.2776085.

 

34. S Brivio, J Frascaroli, and S Spiga, “Role of Al doping in the filament disruption in HfO2 resistance switches”, Nanotechnology 28, 395202 (2017).

 

35. E. Covi, S. Brivio, J. Frascaroli, M. Fanciulli and S. Spiga, “Analog HfO2-RRAM Switches for Neural Networks”, ECS Trans. 75(32), 85-94 (2017). DOI:10.1149/07532.0085ecst

 

36.  Hong-Yu Chen, Stefano Brivio, Che-Chia Chang, Jacopo Frascaroli, Tuo-Hung Hou, Boris Hudec, Ming Liu, Hangbing Lv, Gabriel Molas, Joon Sohn, Sabina Spiga, V Mani Teja, Elisa Vianello, H-S Philip Wong, “Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication”, Journal of Electroceramics, 39:21-38 (2017). DOI: 10.1007/s10832-017-0095-9

 

37. Ioulia Tzouvadaki, Nima Aliakbarinodehi, Giovanni De Micheli, Sandro Carrara, The memristive effect as a novelty in drug monitoring, Nanoscale, 9, 9676-9684 (2017). DOI: 10.1039/c7nr01297g

 

38. Sébastien Naus, Ioulia Tzouvadaki, Pierre-Emmanuel Gaillardon, Armando Biscontini, Giovanni De Micheli, Sandro Carrara, An Efficient Electronic Measurement Interface for Memristive Biosensors, proceedings of the International IEEE Conference ISCAS 2017, Baltimore (US), pp. 1652-1655

 

39. Ioulia Tzouvadaki, Nima Aliakbarinodehi, Giovanni De Micheli, Sandro Carrara, Memristive Aptasensors for Theranostics, International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017), Athens, May, 2017.

 

40. C. Dias, L. Guerra, B. Bordalo, H. Lv, A. Ferraria, A. Rego, S. Cardoso, P. P. Freitas, J. Ventura, “Voltage-polarity dependent multi-mode resistive switching on sputtered MgO nanostructures”, Phys. Chem. Chem. Phys.19, 10898-10904 (2017).

 

41. L. Guerra, C. Dias, J. Pereira, S. Cardoso, P. P. Freitas, J. Ventura, Unipolar Nonvolatile Resistive Switching in Pt/MgO/Ta/Ru Structures Deposited by Magnetron Sputtering, J. Nanosci. Nanotechnol. 17, 564-567 (2017).

 

42. Jaafar AH, Gray RJ, Verrelli E, O’Neill M, Kelly SM and Kemp NT, “Reversible optical switching memristors with tunable STDP synaptic plasticity: a route to hierarchical control in artificial intelligent systems” Nanoscale, 9, 17091 (2017).

 

43. S. Stathopoulos, A. Khiat, M. Trapatseli, S. Cortese, A. Serb, I . Valov, and T. Prodromakis, “Multibit memory operation of metal-oxide bi-layer memristors”, Scientific Reports, vol. 7, 17532, (2017).

 

44. Q. Li, I. Salaoru, A. Khiat, H. Xu and T. Prodromakis, “Correlated resistive/capacitive state variability in solid TiO2 based memory devices”, Journal of Applied Physics A, vol. 123, no. 372, (2017).

 

45. M. Trapatseli, A. Khiat, S. Cortese, A. Serb, D. Carta and T. Prodromakis, “Impact of ultra-thin Al2O3-y layers on TiO2-x ReRAM switching characteristics”, Journal of Applied Physics, vol. 121, no. 18, (2017).

 

46. I. Gupta, A. Serb, R. Berdan, A. Khiat, and T. Prodromakis, “Volatility Characterisation for RRAM devices”, IEEE Electron Device letters, vol. 38, no. 1, (2017).

 

47. I. Gupta, A. Serb, A. Khiat, and T. Prodromakis, “Improving detection accuracy of memristor-based bio-signal sensing platform”, IEEE Trans. on Biomedical Circuits and Systems, vol. 11, no. 1, (2017).

 

48. A. Serb, E. Manino, I. Messaris, L. Tran-Thanh and T. Prodromakis, “Hardware-Level Bayesian Inference”, 31st Conference on Neural Information Processing Systems (NIPS), 2017.

 

49. A. Serb, C. Papavassiliou and T. Prodromakis, “A Memristor-CMOS Hybrid Architecture Concept for on-Line Template Matching”, Proceedings of the IEEE International Symposium on Circuits and Systems, May 2017.

 

50. I. Gupta, A. Serb, A. Khiat, and T. Prodromakis, “Mitigating Noise Effects in Volatile Nano-Metal Oxide Neural Detector”, Proceedings of the IEEE International Symposium on Circuits and Systems, May 2017.

 

51. R. Berdan, A. Serb, C. Papavassiliou and T. Prodromakis, “Live Demonstration: mNET: a Visually Rich Memristor Crossbar Simulator”, Proceedings of the IEEE International Symposium on Circuits and Systems, May 2017.

 

52. I. Messaris, S. Nikolaidis, A. Serb, S. Stathopoulos, I. Gupta, A. Khiat, and T. Prodromakis, “Live Demonstration: a TiO2 ReRAM Parameter Extraction Method”, Proceedings of the IEEE International Symposium on Circuits and Systems, May 2017.

 

53. I. Messaris, S. Nikolaidis, A. Serb, S. Stathopoulos, I. Gupta, A. Khiat, and T. Prodromakis, “A TiO2 ReRAM Parameter Extraction Method”, Proceedings of the IEEE International Symposium on Circuits and Systems, May 2017.

 

54. A. Khiat, P. Ayliffe and T. Prodromakis, “High Density Crossbar Arrays with Sub- 15 nm Single Cells via Liftoff Process Only”, Scientific Reports, 6, 32614, 2016.

 

55. A. Khiat, S. Cortese, A. Serb and T. Prodromakis, “Resistive switching of Pt/TiOx/Pt devices fabricated on flexible Parylene-C substrates”, IOP Nanotechnology, vol. 28, no. 2, 2016.

 

56. N. Wainstein and S. Kvatinsky, "TIME – Tunable Inductors using MEmristors," IEEE Transactions on Circuits and Systems I: Regular Papers

57. A. Doz, I. Goldstein, and S. Kvatinsky, "Analysis of the Row Grounding Method in a Memristor-Based Crossbar Array," International Journal of Circuit Theory and Applications

 

Working Group 2

A) Joint publications (with other MemoCIS members) in international peer reviewed journals and conference.

1. Ascoli, R. Tetzlaff, Z. Biolek, Z. Kolka, V. Biolkovà, and D. Biolek, “The Art of Finding Accurate Memristor Model Solutions,“ IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 5, no. 2, pp. 133-142, 2015, DOI: 10.1109/JETCAS.2015.2426493

 

2. Ascoli, R. Tetzlaff, Z. Biolek, D. Biolek, V. Biolkova, and Z. Kolka, “Techniques for reliable and accurate numerical solutions of memristor models,“ in 2015 European Conference on Circuit Theory and Design (ECCTD), Trondheim, Norway, 2015, pp. 1-4.

 

3. Z. Biolek, D. Biolek, V. Biolkovà, Z. Kolka, A. Ascoli, and R. Tetzlaff, “Generalized Rule of Homothety of Ideal Memristors and Their Siblings,“ in 2015 European Conference on Circuit Theory and Design (ECCTD), Trondheim, Norway, 2015, pp.1-4.

 

4. A. Ascoli, F. Corinto, and R. Tetzlaff, “The generalized boundary condition memristor model,” Int. J. Circuit Theory Appl., 2015, DOI: 10.1002/cta.2063.

 

5. A. Ascoli, F. Corinto, and R. Tetzlaff, “A class of versatile circuits, made up of standard electrical components, are memristors,” Int. J. Circuit Theory Appl., 2015, DOI: 10.1002/cta.2067.

 

6. A. Ascoli S. Slesazeck, H. Mähne, R. Tetzlaff, and T. Mikolajick, “Nonlinear dynamics of a locally-active memristor,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 62, no. 4, pp. 1165–1175, Apr. 2015.

 

7. A. Ascoli, S. Slesazeck, H. Mähne, R. Tetzlaff, and T. Mikolajick, “Stability analysis supports memristor circuit design”, ISCAS 2015

 

8. J. Secco, M. Biey, F. Corinto, A. Ascoli, and R. Tetzlaff, “Complex behavior in memristor circuit based on static nonlinear two-ports and dynamic bipole”, ECCTD, 2015

 

9. A. Ascoli, S. Slesazeck, H. Mähne, R. Tetzlaff, and T. Mikolajick, “Unfolding Principle gives insight into physics behind threshold switching in a NbO memristor”, MEMRISYS, Cyprus, 2015

 

10. S. Slesazeck, H. Mähne, H. Wylezich, A. Wachowiak, J. Radhakrishnan,A. Ascoli, R. Tetzlaff, and T. Mikolajick, “Physical model of threshold switching in NbO2 based memristors”, www.rsc.org/, DOI: 10.1039/C5RA19300A, 2015

 

11. G. Papandroulidakis, I. Vourkas, G. Sirakoulis, S. Stavrinides, and S. Nikolaidis, “Multi-state Memristive Nanocrossbar for High-Radix Computer Arithmetic Systems”, 15th Int. Conf. on Nanotechnology, Rome, Italy, 27-30 July 2015

 

12. A. Ascoli, R. Tetzlaff, and M. Biey, “Memristor and Memristor Circuit Modelling based on Methods of Nonlinear System Theory”, Springer Lecture Notes “Nonlinear Dynamics in Computational Neuroscience”, edited by F. Corinto and A. Torcini, 2016, In press.

 

13. D. Biolek, Z. Kolka, V. Biolkova, Z. Biolek, M. Potrebic, and D. Tosic, “Modeling and Simulation of Large Memristive Networks,” Int. J. of Circuit Theory and Applications, 2016

 

14. E. Covi, S. Brivio, A. Serb, T. Prodromakis, M. Fanciulli, S. Spiga, “Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning”, in Frontiers in Neuroscience, vol. 10, no. 48

 

15. J. Radhakrishnan, S. Slesazeck, T. Mikolajick, A. Ascoli, R. Tetzlaff and H. Wylezich, “A physics-based Spice model for the Nb2O5 threshold switching memristor”, CNNA, 2016

 

16. S. Slesazeck, M. Herzig, T. Mikolajick, A. Ascoli, M. Weiher, and R. Tetzlaff, “ Analysis of Vth variability in NbOx-based threshold switches”, IEEE Nonvolatile Memory Technology Symposium (NVMTS), 2016, In press

 

17. E. Covi, S. Brivio, A. Serb, T. Prodromakis, M. Fanciulli, and S. Spiga, “HfO2-based Memristors for Neuromorphic Applications”, 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, 2016, pp. 393-396.
doi: 10.1109/ISCAS.2016.7527253

 

18. Y. Cassuto, S. Kvatinsky, and E. Yaakobi, "Information-Theoretic Sneak Path Mitigation in Memristor Crossbar Arrays," IEEE Transaction on Information Theory, Vol. 62, No. 9, pp. 4801-4814, September 2016.

 

19. Y. Cassuto, S. Kvatinsky, and E. Yaakobi, “Write Sneak-Path Constraints Avoiding Disturbs in Memristor Crossbar Arrays,” Proceedings of the IEEE International Symposium on Information Theory 2016 (in press).

 

20. A. Ascoli, V. Ntinas, R. Tetzlaff, and G. Ch. Sirakoulis, “Closed-form analytical solution for on-switching dynamics in a TaO memristor”, IEEE IET Electronics Letters, 2017, DOI: 10.1049/el.2017.1622.

 

21. A. Ascoli, V. Ntinas, R. Tetzlaff, and G.Ch. Sirakoulis, “Towards an analytical description of a TaO memristor”, IEEE (PACET), Xanthi, Greece, 2017.

 

22. C. de Benito, M. M. A. Chawa, J. L. Rossello, M. Roca, R. Picos, I. Messaris, and S. Nikolaidis, “An analytical delay model for ReRAM memory cells,” 27th International Symposium on Power and Timing, Modeling, Optimization and Simulation (PATMOS), pp. 1-6, 2017.

 

23. D. Biolek, Z. Kolka, V. Biolkova, Z. Biolek, M. Potrebic, and D. Tosic, “Modeling and Simulation of Large Memristive Networks,” International Journal of Circuit Theory and Applications, Early View, First published: 15 March 2017.

 

24. Z. Biolek, D. Biolek, V. Biolkovà, Z. Kolka, A. Ascoli, and R. Tetzlaff, “Analysis of Memristors with Nonlinear Memristance versus State Maps”, Int. Journal on Circuit Theory and its Appl. (IJCTA), 2017, DOI: 10.1002/cta.2314

 

25. S. Menzel, R. Waser, A. Siemon, C. La Torre, M. Schulten, A. Ascoli, and R. Tetzlaff, “On the Origin of the Fading Memory Effect in ReRAMs”, Int. Symp. On Power and Timing, Modeling, Optimization, and Simulation (PATMOS), 2017.

 

26. I. Messaris, S. Nikolaidis, A. Serb, S. Stathopoulos, I. Gupta, A. Khiat, and T. Prodromakis, “Live demonstration: A TiO2 ReRAM parameter extraction method,” IEEE International Symposium on Circuits and Systems (ISCAS), p. 1, 2017.

 

27. I. Messaris, S. Nikolaidis, A. Serb, S. Stathopoulos, I. Gupta and A. Khiat and T. Prodromakis, “A TiO2 ReRAM parameter extraction method,” IEEE International Symposium on Circuits and Systems (ISCAS), p. 1-4, 2017.

 

28. I. Messaris, A. Serb, A. Khiat, S. Nikolaidis, and T. Prodromakis, “A compact Verilog-A ReRAM switching model,” arXiv:1703.01167, Mar. 2017.

 

29. V. Ntinas, A. Ascoli, R. Tetzlaff, and G.Ch. Sirakoulis, “Transformation techniques applied to a TaO memristor model to enable stable device simulations”, IEEE European Conf. On Circuit Theory and Design (ECCTD), 2017.

 

30. M. Potrebic, D. Tosic, and D. Biolek, “Reconfigurable microwave filters using memristor,” International Journal of Circuit Theory and Applications, Early View, First published: 15 March 2017.

 

31. M. Potrebic, D. Tosic, and D. Biolek, “RF/Microwave Applications of Memristors,” in Advances in Memristors, Memristive Devices and Systems, Studies in Computational Intelligence 701, pp. 159-185, Vaidyanathan S and Volos C eds., Springer International Publishing AG 2017, DOI: 10.1007/978-3-319-51724-7_7

 

32. A. Serb, E. Manino, I. Messaris, L. Tran-Thanh, and T. Prodromakis, “A hardware-level Bayesian machine,” 31st Annual Conference on Neural Information Processing Systems (NIPS), 2017.

 

Working Group 2

B) Related Publications in international peer reviewed journals and conference arising directly or indirectly through the COST Action.

1. D. Biolek, T. Teska, V. Biolkova, and Z. Kolka, “Modular Emulators of Memristors and Other Higher-Order Elements from Chua’ s Periodical Table,“ in Proceedings of MEMRISYS' 2015, Paphos, Cyprus, pp. 1-2, 2015

 

2. D. Biolek, V. Biolkova, Z. Kolka, and J. Dobes, “Analog Emulator of Genuinely Floating Memcapacitor with Piecewise- Linear Constitutive Relation,“ Circuits Systems and Signal Processing, vol. 2015, no. 4, pp. 1-20, 2015.

 

3. Z. Kolka, V. Biolkova, D. Biolek, and J. Vavra, “Behavioral Model for Simplified Identification of Memristor Parameters,“ in Proceedings of 2015 International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, 2015, pp. 1-4.

 

4. D. Biolek, Z. Biolek, V. Biolkova, and Z. Kolka, “Reliable Modeling of Ideal Generic Memristors via State- Space Transformation,“ Radioengineering, vol. 24, no. 2, pp. 393-407, 2015.

 

5. Z. Biolek, D. Biolek, and V. Biolkova, “Differential Equations of Ideal Memristors,“ Radioengineering, vol. 24, no. 2, pp. 369-377, 2015.

 

6. Z. Kolka, D. Biolek, and V. Biolkova, “Improved Model of TiO2 Memristor,“ Radioengineering, vol. 24, no. 2, pp. 378-383, 2015.

 

7. Z. Biolek, D. Biolek, V. Biolkova, and Z. Kolka, “Comments on Pinched Hysteresis Loops of Memristive Elements,“ Radioengineering, vol. 2015, no. 4, pp. 962-967, 2015.

 

8. Z. Biolek, D. Biolek, and V. Biolkova, “Specification of one classical fingerprint of ideal memristor,“ Microelectronics Journal, vol. 46, no. 1, pp. 298-300, 2015.

 

9. Z. Biolek, D. Biolek, and V. Biolkova, “(Co) content in Circuits with Memristive Elements,“. IEEE Transactions on Circuits and Systems I- Regular Papers, vol. 62, no. 2, pp. 488-496, 2015.

 

10. Z. Biolek, D. Biolek, V. Biolkova, and Z. Kolka, “Variation of a classical fingerprint of ideal memristor,“ International Journal of Circuit Theory and Applications, vol. 2015, no. EV, pp. 1-5, 2015.

 

11. Z. Kolka, D. Biolek, and V. Biolkova, “Enhanced PSpice Model of TiO2 Memristor. International Journal of Materials, vol. 2, no. 1, pp. 25-28, 2015.

 

12. D. Biolek, V. Biolkova, Z. Kolka, and Z. Biolek, “Passive Fully Floating Emulator of Memristive Device for Laboratory Experiments,“ in 6th International Conference on Circuits, Systems, Control, Signals (CSCS 15), Tenerife, Spain, 2015, pp. 112-116.

 

13. D. Biolek, V. Biolkova, and Z. Kolka, “Memristor model for simulating large circuits for massively- parallel analog computing,“ in Proceedings of the KIT 2015, L. Mikulas, Slovakia, 2015, pp. 1-6.

 

14. A. Ascoli, R. Tetzlaff, and L. O. Chua, “Robust simulation of a TaO memristor model”, RadioEngineering, June 2015, DOI: 10.13164/re.2015.0001

 

15. A. Ascoli, R. Tetzlaff, and L. O. Chua, “ Continuous approximations for robust simulations of a TaO memristor model”, NDES, 2015

 

16. A. Ascoli and R. Tetzlaff, “Analytical model for ideal generic memristor circuits based on the theory of Volterra”, Zuverlässigkeit und Entwurf (ZuE), 2015

 

17. A. Ascoli, V. Lanza, F. Corinto, and R. Tetzlaff, “Synchronization conditions in simple memristor neural networks”, Journal of The Franklin Institute, 2015, http://dx.doi.org/10.1016/j.jfranklin.2015.06.003

 

18. M. Potrebić, D. Tošić, “Application of Memristors in Microwave Passive Circuits”, Radioengineering, vol. 24, no. 2, pp. 408–419, 2015. DOI: 10.13164/re.2015.0408, Print ISSN 1210-2512, Online ISSN 1805-9600, [online] http://www.radioeng.cz/fulltexts/2015/15_02_0408_0419.pdf

 

19. Dejan Tošić, Milka Potrebić, and Marija Mrvić, “Further Perspectives on the Simulations on Memristors”, Memristors – Devices, Models, Circuits, Workshop on memristors, Institute of Physics, University of Belgrade, Belgrade, Serbia, 15th September 2015

 

20. Marija Mrvić, “What we learned at the MemoCiS COST Action Training School in Sardinia”, Memristors – Devices, Models, Circuits, Workshop on memristors, Institute of Physics, University of Belgrade, Belgrade, Serbia, 15th September 2015

 

21. T. F. Akbar, B. Ibarlucea, L. Baraban, G. Cuniberti, A. Ascoli, R. Tetzlaff, T. Rim, C. K. Baek, and D. Bodas, “Phage-based environmental nanobiosensor”, CNNA, 2016

 

22. A. Ascoli, and R. Tetzlaff, “Volterra model of a class of two-memristor circuits”, 18th IEEE Mediterranean Electrotechnical Conference (Melecon), Cyprus, 2016

 

23. A. Ascoli, R. Tetzlaff, L. O. Chua, “The first ever real bistable memristors - Part I: theoretical insights on local fading memory”, Transactions on Circuits and Systems-II, 2016, DOI: http://10.1109/TCSII.2016.2604567

 

24. A. Ascoli, R. Tetzlaff, L. O. Chua, J. P. Strachan, and R. S. Williams, “History erase effect in a non-volatile memristor”, IEEE Trans. Circuits and Systems-I: Reg. Papers, vol. 63, no. 3, pp. 389-400, March 2016, DOI: 10.1109/TCSI.2016.2525043

 

25. A. Ascoli, R. Tetzlaff, L. O. Chua, J. P. Strachan, and R. S. Williams, “Fading memory effects in a memristor for Cellular Nanoscale Network applications”, IEEE Conference & Exhibition on Design, Automation & Test in Europe, pp. 421-425, 2016

 

26. A. Ascoli, R. Tetzlaff, L. O. Chua, J. P. Strachan, and R. S. Williams, “Memory loss in a tantalum oxide memristor”, CIMTEC, 2016

 

27. A. Ascoli, R. Tetzlaff, L. O. Chua, J. P. Strachan, and R. S. Williams, “DC behaviour of a non-volatile memristor: part I”, CNNA, 2016

 

28. A. Ascoli, R. Tetzlaff, and L. O. Chua, “The first ever real bistable memristor”, IEEE ISCAS, pp. 2896, 2016

 

29. A. Ascoli, R. Tetzlaff, L. O. Chua, “The first ever real bistable memristors - Part II: design & analysis of a local fading memory system”, Transactions on Circuits and Systems-II, 2016, DOI: 10.1109/TCSII.2016.2613560

 

30. A. Ascoli, V. Senger, R. Tetzlaff, N. Du, O. G. Schmidt, and H. Schmidt “BiFeO3 memristor-based secure encryption of medical data”, IEEE ISCAS, pp. 1602-1605, 2016

 

31. D. Biolek, Z. Biolek, and V. Biolkova, “Hysteresis versus PSM of ideal memristors, memcapacitors, and meminductors,” Electronics Letters, vol. 52, no. 20, pp. 1669-1670, 2016

 

32. D. Biolek, Z. Biolek, and V. Biolkova, “Every Nonlinear Element from Chua's Table Can Generate Pinched Hysteresis Loops: Generalised Homothety Theorem,” Electronics Letters, vol. 52, no. 21, pp. 1744-1746, 2016

 

33. D. Biolek, Z. Biolek, and V. Biolkova, “Memristors and other higher-order elements in generalized Through-Across Domain,” In IEEE Int. Conf. on Electronics Circuits and Systems (ICECS), Monte Carlo, Monaco, 2016

 

34. D. Biolek, Z. Biolek, V. Biolkova, and Z. Kolka, “Nonlinear Inerter in the Light of Chua’s Table of Higher-Order Electrical Elements,” Proceedings of the IEEE Int. Conf. APCCAS 2016, Jeju, Korea, pp. 617-620, 2016

 

35. D. Biolek, Z. Kolka, J. Vavra, and S. Doan, “Universal Emulator of Memristive and Other Two-Terminal Devices,” International Journal of Unconventional Computing, vol. 12, no. 4, pp. 281-302, 2016


36. E. Covi et al., “Analog HfO2-RRAM Switches for Neural Networks”, in ECS Transactions, 2016

 

37. A. Fafkas, "Study and design of a full adder using memristors in a crossbar structure", Master thesis, Aristotle University of Thessaloniki, Thessaloniki, Greece, Sept. 2016

 

38. J. Kalomiros, S.G. Stavrinides, F. Corinto, "A two-transistor non-ideal memristor emulator," In International Conference on Modern Ciecuits and Systems Technology (MOCAST2016), pp. 1-2, May 2016

 

39. S.-A. Kourfali, "Digital circuit design using memristors", Master thesis, Aristotle University of Thessaloniki, Thessaloniki, Greece, Sept. 2016

 

40. Z. Kolka, D. Biolek, V. Biolkova, and Z. Biolek, “Evaluation of Memristor Models for Large Crossbar Structures,” in Proceedings of the 26th IEEE International Conference RADIOELEKTRONIKA, Košice, Slovakia, pp. 91-94, 2016

 

41. I. Markovic, M. Potrebic, D. Tosic, “Possibility of applying memristors in microwave filters”, Technics, vol. 71, no. 6, pp. 1-8, 2016, ISSN 0040-2176, UDC: 62(062.2)(497.1) (in Serbian)

 

42. I. Markovic, “Implementation of reconfigurable bandpass-bandstop filter using memristors”, in Proc. 24th Telecommunications Forum (TELFOR 2016), pp. 1-4, Belgrade, Serbia, November 22-23, 2016, DOI: 978-1-5090-4086-5/16 (in Serbian)

 

43. R. Picos, S.G. Stavrinides, A. Theodorakakos, E. Hatzikraniotis, "The experimental model of a non-ideal memristor," In International Conference on Modern Circuits and Systems Technology (MOCAST), pp. 1-2, May 2016.

 

44. A. Ascoli, R. Tetzlaff, and L. O. Chua, “Continuous and differentiable approximation of a TaO memristor model for robust numerical simulations”, in Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences, Springer Proceedings in Physics 191, G. Mantica et al. (eds.), Springer International Publishing AG 2017, DOI: 10.1007/978-3-319-47810-4_6

 

45. A. Ascoli, R. Tetzlaff, M. Biey, and L.O. Chua, “Complex dynamics in circuits with memristors”, IEEE European Conf. On Circuit Theory and Design (ECCTD), 2017

 

46. A. Ascoli, D. Baumann, R. Tetzlaff, L.O. Chua, and M. Hild, “Memristor-enhanced humanoid robot control system: Part I -- theory behind the novel memcomputing paradigm,” Int. Journal on Circuit Theory and Applications, 2017, DOI: 10.1002/cta.2431

 

47. A. Ascoli, R. Tetzlaff, L.O. Chua, W. Yi, and R.S. Williams, “Memristor Emulators: a Note on Modeling”, in Advances in Memristors, Memristive Devices and Systems, Studies in Computational Intelligence 701, pp. 1-17, Vaidyanathan S and Volos C eds., Springer International Publishing AG 2017, DOI: 10.1007/978-3-319-51724-7_1

 

48. A. Ascoli, R. Tetzlaff, and M. Biey, “Memristor and Memristor Circuit Modelling based on Methods of Nonlinear System Theory”, Springer Lecture Notes “Nonlinear Dynamics in Computational Neuroscience”, edited by F. Corinto and A. Torcini, under press

 

49. D. Baumann, A. Ascoli, R. Tetzlaff, L.O. Chua, and M. Hild, “Memristor-enhanced humanoid robot control system: Part II -- circuit theoretic model and performance analysis,” Int. Journal on Circuit Theory and Applications, 2017, DOI: 10.1002/cta.2430

 

50. D. Biolek, Z. Biolek, and V. Biolková, “Memristive Two-Ports,” In 27th IEEE Int. Symp. on Power and Timing Modeling, Optimization and Simulation (PATMOS), Thesaloniki, Greece, 2017, pp. 1-4.

 

51. D. Biolek, Z. Kolka, and J. Vavra, “Memristive two-ports,” In Workshop 6, MemoCIS, COST Action IC1401, Krakow, Poland, 2017

 

52. D. Biolek and Z. Biolek, “Predictive models of Nanodevices,” IEEE Transactions on Nanotechnology, conditionally accepted in Oct. 2017.

 

53. D. Biolek, D., V. Biolková, and Z. Kolka, “Modified MIM Model of Titanium Dioxide Memristor for Reliable Simulations in SPICE,” In Proc. of 14th IEEE Int. Conf. on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Giardini Naxos, Italy, 2017, pp. 1-4

 

54. D. Biolek, V. Biolková, Z. Kolka, and J. Vávra, “Synthesis of Memristive Systems,” Journal of Telecommunication, Electronic and Computer Engineering, vol. 9, no. 2-7, 2017, pp. 171-175.

 

55. D. Biolek, V. Biolková, and Z. Kolka, “A Note on the So-Called Inverse Memristor,” In MEMRISYS 2017, Athens, Greece, 2017, pp. 1.

 

56. V. Biolková, Z. Biolek, D. Biolek, and Z. Kolka, “Voltage-Current Differential Equations of Extended Memristors with One-Dimensional State,” In IEEE Int. Conf. AMS 2017, Kota Kinabalu, Malaysia, 2017, pp. 58-62.

 

57. Z. Biolek, D. Biolek, and V Biolkova, “Utilization of Euler-Lagrange Equations in Circuits with Memory Elements,” Radioengineering, vol. 25, no. 4, 2016, pp. 783-789.

 

58. Z. Biolek and D. Biolek, “Euler-Lagrange Equations of Networks with Higher-Order Elements,” Radioengineering, vol. 26, no. 2, 2017, pp. 397-405.

 

59. S. Brivio, J. Frascaroli, and S. Spiga, “Role of Al doping in the filament disruption in HfO2 resistance switches”, Nanotechnology, 28(39) 395202, 2017

 

60. S Brivio, and S Spiga, “Stochastic circuit breaker network model for bipolar resistance switching memories”, Journal of Computational Electronics 16 (4), 1154-1166, 2017

 

61. B. Ibarlucea, T.F. Akbar, K. Kim, T. Rim, C.-K. Baek, A. Ascoli, R. Tetzlaff, L. Baraban, G. Cuniberti, "Ebola biosensing with a gate controlled memristor mode", Trends in NanoTechnology (TNT), 2017

 

62. B. Ibarlucea, K. Kim, T. Rim, C.-K. Baek, A. Ascoli, R. Tetzlaff, L. Baraban, and G. Cuniberti, “Voltage gap engineering for improved control of memristor nanosensors”, IEEE European Conf. On Circuit Theory and Design (ECCTD), 2017

 

63. B. Ibarlucea, T.F. Akbar, K. Kim, T. Rim, C.-K. Baek, A. Ascoli, R. Tetzlaff, L. Baraban, and G. Cuniberti, “Ultrasensitive Detection of Ebola Matrix Protein in a memristor mode,” NanoResearch, 2017, DOI: 10.1007/s12274-017-1720-2

 

64. Z. Kolka, D. Biolek, V. Biolková, and J. Vorálek, “On Digitally Emulated MemDevices,” In MEMRISYS 2017, Athens, Greece, 2017, pp. 1.

 

65. Z. Kolka, V. Biolková, J. Vorálek, and D. Biolek, “Digitally Emulated Electronic Devices,” In IEEE Int. Conf. AMS 2017, Kota Kinabalu, Malaysia, 2017, pp. 184-187.

 

66. J. Vávra and D. Biolek, “An Envelope Detector Based on Memristive Systems,” Journal of Telecommunication, Electronic and Computer Engineering, vol. 9, no. 2-7, pp. 183-186, 2017

 

67. Mladenov, V., S. Kirilov. Advanced Memristor Model with a Modified Biolek Window and a Voltage-Dependent Variable Exponent, in the Proceedings of ISTET 2017, Ilmenau, Germany, July 2017, http://www.tu-ilmenau.de/istet2017/, accepted for publication after review in peer review journal „IAPGOS“, https://e-iapgos.pl.

 

68. Mladenov, V., S. Kirilov. A Nonlinear Drift Memristor Model with a Modified Biolek Window Function and Activation Threshold, Electronics 2017, 6(4), 77; doi:10.3390/electronics6040077, pp. 1 – 15, http://www.mdpi.com/2079-9292/6/4/77

 

69. Mladenov, V., S. Kirilov. A Memristor Model with a Modified Window Function and Activation Thresholds. – accepted for publication in the Proceedings of ISCAS 2018, Florence, Italy, http://www.iscas2018.org/

 

70. Kirilov, S., V. Mladenov. Analysis of a Passive Memristor Crossbar. – accepted after review in the peer review journal „Oriental Journal of Computer Science and Technology”, www.computerscijournal.org.

71. N. Wainstein and S. Kvatinsky, "A Lumped RF Model for Nanoscale Memristive Devices and Non-Volatile Single-Pole Double-Throw Switches," IEEE Transactions on Nanotechnology.

 

Working Group 3

A) Joint publications (with other MemoCIS members) in international peer reviewed journals and conference.

1. S. Hamdioui, L. Xie, H. A. Du Nguyen, M. Taouil, K. Bertels, H. Corporaal, H. Jiao, F. Catthoor, D. Wouters, L. Eike, and J. van Lunteren, “Memristor Based Computation-in-Memory Architecture for Data-Intensive Applications”, in Proceedings of the IEEE/ACM Conference on Design, Automation and Test in Europe, pp. 1718-1725, March 2015.

 

2. G. Papandroulidakis, I. Vourkas, G. C. Sirakoulis, S. Stavrinides and S. Nikolaidis, "Multi-state memristive nanocrossbar for high-radix computer arithmetic systems", 2015 IEEE 15th International Conference on Nanotechnology (IEEE-NANO), 2015.

 

3. R. Berdan, E. Vasilaki, A. Khiat, G. Indiveri, A. Serb and T. Prodromakis, "Emulating short-term synaptic dynamics with memristive devices", Sci. Rep., vol. 6, p. 18639, 2016.

 

4. H. Mostafa, A. Khiat, A. Serb, C. Mayr, G. Indiveri and T. Prodromakis, "Implementation of a spike-based perceptron learning rule using TiO2−x memristors", Front. Neurosci., vol. 9, 2015.

 

5. C. Dias, L. M. Guerra, J. Ventura and P. Aguiar, "Memristor-based Willshaw network: Capacity and robustness to noise in the presence of defects", Appl. Phys. Lett., vol. 106, no. 22, p. 223505, 2015.

 

6. I. Vourkas, D. Stathis, G. C. Sirakoulis and S. Hamdioui, "Alternative Architectures Toward Reliable Memristive Crossbar Memories", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 1, pp. 206-217, 2016.

 

7. A. Ascoli, F. Corinto, and R. Tetzlaff, “The generalized boundary condition memristor model,” Int. J. Circ. Theor. Appl., vol. 44, no. 1, pp. 60-84, 2015.

 

8. A. Ascoli, F. Corinto, and R. Tetzlaff, “A class of versatile circuits, made up of standard electrical components, are memristors,” Int. J. Circ. Theor. Appl., vol. 44, no. 1, pp. 127-146, 2015.

 

9. A. Ascoli, S. Slesazeck, H. Mähne, R. Tetzlaff, and T. Mikolajick, “Nonlinear dynamics of a locally-active memristor,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 62, no. 4, pp. 1165–1175, Apr. 2015.

 

10. A. Ascoli, R. Tetzlaff, S. Slesazeck, H. Mahne and T. Mikolajick, "Stability analysis supports memristor circuit design", 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015.

 

11. Secco, M. Biey, F. Corinto, A. Ascoli and R. Tetzlaff, "Complex behavior in memristor circuits based on static nonlinear two-ports and dynamic bipole", 2015 European Conference on Circuit Theory and Design (ECCTD), 2015.

 

12. Zaher, P. Hafliger, F. Puppo, G. De Micheli and S. Carrara, "Novel readout circuit for memristive biosensors in cancer detection", 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, 2014.

 

13. M. Al Chawa, R. Picos, E. Garcia-Moreno, S. Stavrinides, J. Roldan and F. Jimenez-Molinos, "An Analytical Energy Model for the Reset Transition in Unipolar Resistive-Switching RAMs", IEEE 18th Mediterranean Electrotechnical Conference (MELECON 2016), 2016.

 

14. D. Biolek, V. Biolkova, Z. Kolka, and J. Dobeš, “Analog Emulator of Genuinely Floating Memcapacitor with Piecewise-Linear Constitutive Relation,” Circuits Systems and Signal Processing, vol. 35, no. 1, pp. 43-62, 2016

 

15. D. Biolek, Z. Kolka, and V. Biolkova, “Stability Testing of Hybrid DT+ CT Systems,” In Proceedings of the IEEE Int. Conf. on New Trends in Signal Processing (NTSP). Demanovská dolina, Slovakia, pp. 15-18, 2016

 

16. D. Biolek, Z. Kolka, V. Biolkova, and Z. Biolek, “Memristor Models for SPICE Simulation of Extremely Large Memristive Networks,” In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, Canada, pp. 389-392, 2016

17. D. Biolek, V. Biolkova, Z. Kolka, and J. Vavra, “Synthesis of Memristive Systems,” In Proc. of Int. Conf. Advancement Research in Circuits and Systems International Conference (ARECAS), Kedah, Malaysia, Dec. 2016

 

18. Z. Biolek, D. Biolek, and V. Biolkova, “Utilization of Euler-Lagrange Equations in Circuits with Memory Elements,” Radioengineering, vol. 25, no. 4, 2016

 

19. Z. Biolek, D. Biolek, J. Vavra, V. Biolkova, and Z. Kolka, “The Simplest Memristor in the World,” 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, Canada, pp. 1854-1857, 2016

 

20. Z. Biolek, D. Biolek, and V. Biolkova, “Charging the Capacitor via a (Memory) Resistor,” In Proceedings of the IEEE Int. Conf. APCCAS 2016, Jeju, Korea, pp. 621-624, 2016

 

21. F. Corinto, M. Forti, “Memristor Circuits: Flux—Charge Analysis Method”, IEEE Transactions on Circuits and Systems-I, 2016, DOI: 10.1109/TCSI.2016.2590948

 

22. I. Messaris, A. Serb, S. Stathopoulos, A. Khiat, S. Nikolaidis and T. Prodromakis, "A Data-Driven Verilog-A ReRAM Model," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018, pp. 1-1.

 

23. A. Serb, E. Manino, I. Messaris, L. Tran-Thanh, and T. Prodromakis, “A hardware-level Bayesian machine,” in 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, USA, 2017.

 

24. C. de Benito, M. M. A. Chawa, J. L. Rossello, M. Roca, R. Picos, I. Messaris, and S. Nikolaidis, “An analytical delay model for ReRAM memory cells,” in 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), Thessaloniki, Greece, 2017, pp. 1-6.

 

25. I. Messaris, S. Nikolaidis, A. Serb, S. Stathopoulos, I. Gupta, A. Khiat, and T. Prodromakis, “Live demonstration: A TiO2 ReRAM parameter extraction method,” in 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017, p. 1.

 

26. I. Messaris, S. Nikolaidis, A. Serb, S. Stathopoulos, I. Gupta and A. Khiat and T. Prodromakis, “A TiO2 ReRAM parameter extraction method,” in 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017, p. 1-4.

 

27. V. Milo, D. Ielmini, and E. Chicca, “Attractor networks and associative memories with STDP learning in RRAM synapses,” in 2017 IEEE International Electron Devices Meeting (IEDM). San Francisco, CA, USA, 2017, pp. 11.2.1 – 11.2.4.

 

28. S. Cortese, I. Messaris, A. Serb, A. Khiat, S. Nikolaidis and T. Prodromakis, “Impact and constraints of volatile selectors on ReRAM crossbar operation,” to be submitted in IEEE Transactions on Nanotechnology, in preparation.

 

29. S. Stathopoulos, A. Serb, I. Messaris, S. Nikolaidis and T. Prodromakis, “Live Demonstration: Memristor crossbar emulation based on experimentally extracted parameters,” in 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, awaiting decision.

 

Working Group 3

B) Related Publications in international peer reviewed journals and conference arising directly or indirectly through the COST Action.

1. I. Klimo et al., "Modeling MIN and MAX gates using memristive devices," presented at the Workshop on Memristor Technology, Design, Automation and Computing (MemTDAC), affiliated with HiPEAC'15 conference, Amsterdam, The Netherlands, 19-21 January, 2015.

 

2. M.Frátrik, M. Klimo, O. Šuch and O. Škvarek, "Memristive sorting networks", physica status solidi (c), vol. 12, no. 1-2, pp. 233-237, 2015.

 

3. O. Such, E. Linn, M. Klimo, P. Jancovic, M. Fratrik and K. Frohlich, "On Passive Permutation Circuits", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 5, no. 2, pp. 173-182, 2015.

 

4. I. Vourkas, and G. Ch. Sirakoulis, “Emerging Memristor-based Logic Circuit Design Approaches: A Review”, in IEEE Circuits and Systems Magazine, vol. 16, no. 3, pp. 15-30, thirdquarter 2016.

 

5. I. Vourkas, D. Stathis, and G. Ch. Sirakoulis, “Massively Parallel Analog Computing: Ariadne’s Thread Was Made of Memristors”, in IEEE Transactions on Emerging Topics in Computing , vol.PP, no.99, pp.1-1

 

6. G. Papandroulidakis, I. Vourkas, and G. Ch. Sirakoulis, “Composite memristive nano-architectures with memory and in memory computing capabilities”, presented at the workshop on Memristor Technology, Design, Automation and Computing (MemTDAC) affiliated with the HiPEAC 2016 Conference, Amsterdam, The Netherlands, 18-20 January 2016.

 

7. International Journal of Circuit Theory and Applications (Wiley), Special Issue Call for Papers “Memristors - Devices, Models, Circuits, Systems and Applications” Guest Editors: Ronald Tetzlaff, Fernando Corinto, Rogrigo Picos, Maciej Ogorzalek.

 

8. F. Corinto, P. Civalleri and L. Chua, "A Theoretical Approach to Memristor Devices", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 5, no. 2, pp. 123-132, 2015.

 

9. A. Theodorakakos, S. Stavrinides, E. Hatzikraniotis and R. Picos, "A non-deal memristor device", 2015 International Conference on Memristive Systems (MEMRISYS), 2015.

 

10. G. Papandroulidakis, I. Vourkas, G. Ch. Sirakoulis, and A. Rubio, “Heterogeneous Memristive Crossbar for In-Memory Computing,” presented at the International Conference on Memristive Systems (Memrisys 2015), Paphos, Cyprus, Greece, 8-10 November 2015.

 

11. G. Indiveri, E. Linn and A. Ambrogio, "ReRAM-Based Neuromorphic Computing", in Resistive Switching: From Fundamentals of Nanoionic Redox Processes to Memristive Device Applications, 1st ed., D. Ielmini and R. Waser, Ed. Weinheim, Germany: Wiley-VCH Verlag, 2016.

 

12. M. Nair and P. Dudek, "Gradient-descent-based learning in memristive crossbar arrays", 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, pp. 1-7, 2015.

 

13. M. Nair and P. Dudek, "Practical gradient-descent for memristive crossbars", 2015 International Conference on Memristive Systems (MEMRISYS), 2015.

 

14. C. Dias, M. P. Proenca, L. Fernandes, P. B. Tavares, R. Vilarinho, J. A. Moreira, J. P. Araújo and J. Ventura, "Tuning the Stoichiometry of Ag2S Thin Films for Resistive Switching Applications", Journal of Nanoscience and Nanotechnology, vol. 16, no. 3, pp. 2608-2612, 2016.

 

15. C. Dias, L. M. Guerra, J. Ventura and P. Aguiar, "Memristor-based Willshaw network: Capacity and robustness to noise in the presence of defects", Appl. Phys. Lett., vol. 106, no. 22, p. 223505, 2015.

 

16. A. Ascoli, and R. Tetzlaff, “Analytical model for ideal generic memristor circuits based on the theory of Volterra”, Proceedings of 8. GMM/ITG/GI-Symposium Reliability by Design (ZuE), 2015.

 

17. A. Ascoli, V. Lanza, F. Corinto, and R. Tetzlaff, “Synchronization conditions in simple memristor neural networks”, Journal of The Franklin Institute, vol. 352, no. 8, pp. 3196-3220, 2015.

 

18. L. Xie, H. Nguyen, M. Taouil and K. Bertels Said Hamdioui, "Fast boolean logic mapped on memristor crossbar", 2015 33rd IEEE International Conference on Computer Design (ICCD), 2015.

 

19. S. Hamdioui, M. Taouil and N. Haron, "Testing Open Defects in Memristor-Based Memories", IEEE Transactions on Computers, vol. 64, no. 1, pp. 247-259, 2015.

 

20. H. Nguyen, L. Xie, M. Taouil, R. Nane, S. Hamdioui and K. Bertels, "Computation-in-memory based parallel adder", Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH´15), 2015.

 

21. L. Xie, H. Nguyen, M. Taouil, S. Hamdioui and K. Bertels, "Interconnect networks for memristor crossbar", Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH´15), 2015.

 

22. S. Hamdioui, L. Xie, H. Nguyen, M. Taouil, K. Bertels, H. Corporaal, H. Jiao, F. Catthoor, D. Wouters, L. Eike, J. van Lunteren, “Memristor based computation-in-memory architecture for data-intensive applications”, Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE ‘15), pp. 1718-1725, 2015.

 

23. O. Bass, A. Fish and D. Naveh, "A Memristor as Multi-Bit Memory: Feasibility Analysis", Radioengineering, vol. 24, no. 2, pp. 425-430, 2015.

 

24. M. Orlowski, J. Secco and F. Corinto, "Chua's Constitutive Memristor Relations for Physical Phenomena at Metal-Oxide Interfaces", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 5, no. 2, pp. 143-152, 2015.

 

25. N. Wainsten and S. Kvatinsky, "An RF Memristor Model and Memristive Single-Pole Double-Throw Switches," Proceeding of the IEEE International Conference on Circuits and Systems, May 2017 (in press).

 

26. E. Amrany, A. Drory, and S. Kvatinsky, "Logic Design with Unipolar Memristors," Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), September 2016 (in press).

 

27. S. Greshnikov, E. Rosenthal, D. Soudry, and S. Kvatinsky, “A Fully Analog Memristor-Based Multilayer Neural Network with Online Backpropagation Training,” Proceeding of the IEEE International Conference on Circuits and Systems, pp. 1394-1397, May 2016.

 

28. MV Nair, LK Muller, G Indiveri. “A differential memristive synapse circuit for on-line learning in neuromorphic computing systems,” in Nano Futures, 2017.

 

29. M. Rahimi Azghadi, B. Linares-Barranco, D. Abbott, P. H.W. Leong, “A Hybrid CMOS-memristor Neuromorphic Synapse,” in IEEE Transactions on Biomedical Circuits and Systems, 2017, pp. 434-445.

 

30. L. Xie, H.A. Du Nguyen, J. Yu, A. Kaichouhi, M. Taouil, S. Hamdioui, “Scouting Logic: A Novel Memristor-Based Logic Design for Resistive Computing,” in IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2017), Bochum, Germany, 2017.

 

31. L. Xie, H.A. Du Nguyen, J. Yu, M. Taouil, S. Hamdioui, “On the Robustness of Memristor Based Logic Gates,” in IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2017), Dresden, Germany, 2017.

 

32. H.A. Du Nguyen, L. Xie, M. Taouil, R. Nane, S. Hamdioui, K.L.M. Bertels, “On the Implementation of Computation-in-Memory Parallel Adder,” in IEEE Transactions On Very Large Scale Integration (VLSI) Systems (TVLSI), 2017.

 

33. L. Xie, H.A. Du Nguyen, M. Taouil, S. Hamdioui, K.L.M. Bertels, “A Mapping Methodology of Boolean Logic Circuits on Memristor Crossbar,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2017.

 

34. Mladenov, V., S. Kirilov. Analysis of an anti-parallel memristor circuit. – In the Proceeding of ISTET 2017, Ilmenau, Germany, July 2017, http://www.tu-ilmenau.de/istet2017/, accepted for publication after review in peer review journal „IAPGOS“, https://e-iapgos.pl.

 

35. Kirilov, S., V. Mladenov. Investigation of a Hybrid Memristor RRAM Matrix – under review in „IEEE Transactions on Circuits and Systems – Express Briefs”, http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8920

 

36. Kirilov, S., V. Mladenov. Integrator Device With a Memristor Element. – accepted for publication in the Proceedings of MOCAST 2018, Thessaloniki, Greece, http://mocast.physics.auth.gr.

Working Group 4

A) Joint publications (with other MemoCIS members) in international peer reviewed journals and conference.

1. Alessandro Vallero, Ioulia Tzouvadaki, Francesca Puppo, Giovanni De Micheli, Sandro Carrara, Memristive Biosensors Integration with Microfluidic Platform, IEEE Transactions on Circuits and Systems I (TCAS I), vol. 63, no. 12, pp. 2120-2127, Dec. 2016.

 

2. Ioulia Tzouvadaki, Pawan Jolly, Xiaoling Lu, Sven Ingebrandt, Giovanni de Micheli, Pedro Estrela, Sandro Carrara, Label-Free Ultrasensitive Memristive Aptasensor, Nano Letters, 16 (2016), pp 4472–4476

 

3. Ioulia Tzouvadaki, N. Madaboosi, Irene Taurino, V. Chub, J.P. Conde, G. De Micheli , S. Carrara, Study on the Bio-functionalization of Memristive Nanowires for Detection of Prostate Cancer Biomarkers, RSC Journal of Materials Chemistry B 4(2016) 2153-2162

 

4. O. Bass, A. Fish and D. Naveh, "A Memristor as Multi-Bit Memory: Feasibility Analysis", Journal of Radioengineering, vol. 24, issue 2, pp. 425-430, June 2015.

 

5. Ioulia Tzouvadaki · C. Parrozzani · Andrea Gallotta · Giovanni De Micheli · Sandro Carrara, Memristive-Biosensors for PSA-IgM Detection, BioNanoScience 5(2015) 189 –195

 

6. X. Guo, F. Merrikh-Bayat, L. Gao, B. D. Hoskins, F. Alibart, B. Linares-Barranco, L. Theogarajan, C. Teuscher, and D.B. Strukov, "Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits," Frontiers in Neuromorphic Engineering. Front. Neurosci. 9:488. doi: 10.3389/fnins.2015.00488

 

7. M. Bavandpour, H. Soleimani, B. Linares-Barranco, D. Abbott, and L. O. Chua, "Generalized Reconfigurable Memristive Dynamical System (MDS) for Neuromorphic Applications," Frontiers in Neuromorphic Engineering. Front. Neurosci. 9:409. doi: 10.3389/fnins.2015.00409. 3-Nov-2015.

 

8. M. Fratrik et al. "Memristive sorting networks", Phys. Status Solidi, C 12, No. 1-2, 233-237, 2015, DOI 10.1002/pssc.201400162

 

9. Francesca Puppo, Marie-Agnes Doucey, Jean-Francois Delaloye, T.S.Y. Moh, Gregory Pandraud, P.M. Sarro, Giovanni De Micheli, and Sandro Carrara, SiNW-FET in-Air Biosensors for High Sensitive and Specific Detection in Breast Tumor Extract, IEEE Sensors Journal 15(2015), in press

 

10. Ioulia Tzouvadaki, Francesca Puppo, Marie-Agnes Doucey, Giovanni De Micheli, Sandro Carrara, Computational Study on the Electrical Behavior of Silicon Nanowire Memristive Biosensors, IEEE Sensors Journal 15(2015) 6208-6217

 

11. Ioulia Tzouvadaki, X. Lu, G. De Micheli, S. Ingebrandt, S. Carrara, Nano-Fabricated Memristive Biosensors for Biomedical Applications with Liquid and Dried Samples, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 295-298.

 

12. Ioulia Tzouvadaki and Alessandro Vallero, Francesca Puppo, Giovanni De Micheli, Sandro Carrara, Resistance impact by long connections on electrical behavior of integrated Memristive Biosensors, 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, 2016, pp. 385-388. - Among Best Selected Papers invited to journal special issue

 

13. Ioulia Tzouvadaki, Francesca Puppo, Marie-Agnes Doucey, Giovanni De Micheli, Sandro Carrara, Modeling Memristive Biosensors, IEEE Sensors Conference, Busan (South Korea) 2015, pp. 1538-1541

 

14. Ioulia Tzouvadaki and N.Srinivasan, R. R. G. Soares, J-P.Conde, Virginia Chu, Giovanni De Micheli, Sandro Carrara, Bio-functionalization study of Memristive- Biosensors for Early Detection of Prostate Cancer, IEEE Prime Conference 2015, pp. 17-20 Gold Leaf Award

 

15. A. Lotfi, F. Puppo, M.-A. Doucey, D. Demarchi, G. De Micheli, and S. Carrara, Reliable Redundancy with Memristive-Biosensors to achieve Statistical Significance in Immunosensing, IEEE IWASI 2015, pp. 31-36

 

16. G. Papandroulidakis, I. Vourkas, and G. Ch. Sirakoulis, S. Stavrinides, and S. Nikolaidis, “Multi-state Memristive Nanocrossbar for High-Radix Computer Arithmetic Systems,” presented in (IEEE NANO 2015), Rome, Italy, 27-30 July 2015.

 

17. I. Vourkas, D. Stathis, G. Ch. Sirakoulis, and S. Hamdioui, "Alternative Architectures Toward Reliable Memristive Crossbar Memories," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, np. 1, pp. 206-217, 2016.

 

18. G. Ch. Sirakoulis and S. Hamdioui, “Editorial Note on Memristor Models, Circuits and Architectures,” International Journal of Unconventional Computing, vol. 12, no. 4, pp. 247-250, 2016.

 

19. L. V. Gambuzza, M. Frasca, L. Fortuna, V. Ntinas, I. Vourkas , and G. Ch. Sirakoulis, “A new approach based on memristor crossbar for synchronization,” 15th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2016), Dresden, Germany, 23-25 August 2016.

 

20. Hesham Mostafa, Ali Khiat, Alexander Serb, Christian G Mayr, Giacomo Indiveri, Themis Prodromakis, “Implementation of a spike-based perceptron learning rule using TiO2−x memristors”, In Frontiers in Neuroscience, volume 9, 2015.

 

21. Said Hamdioui, Shahar Kvatinsky, Gert Cauwenberghs, Lei Xie, Nimrod Wald, Siddharth Joshi, Hesham Mostafa Elsayed, Henk Corporaal, Koen Bertels, “Memristor for computing: Myth or reality?”, DATE 2017, pp. 722-731.

 

22. H. A. Du Nguyen, Jintao Yu, Lei Xie, Mottaqiallah Taouil, Said Hamdioui, Dietmar Fey, “Memristive devices for computing: Beyond CMOS and beyond von Neumann”, VLSI-SoC 2017, pp. 1-10.

 

23. Serb, A. Corna, R. George, A. Khiat, F. Rocchi, M. Reato, M. Maschietto, C. Mayr, G. Indiveri, S. Vassanelli, et al. "A geographically distributed bio-hybrid neural network with memristive plasticity," arXiv preprint arXiv:1709.04179, 2017.

 

Working Group 4

B) Related Publications in international peer reviewed journals and conference arising directly or indirectly through the COST Action.

1. I. Vourkas, D. Stathis, and G. Ch. Sirakoulis, “Massively Parallel Analog Computing: Ariadne’s Thread Was Made of Memristors,” in IEEE Transactions on Emerging Topics in Computing, vol.PP, no.99, pp.1-1, doi: 10.1109/TETC.2015.2420353.

 

2. V. Ntinas, I. Vourkas, G. Ch. Sirakoulis, and A. I. Adamatzky, "Oscillation-Based Slime Mould Electronic Circuit Model for Maze-Solving Computations," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol.PP, no.99, pp.1-12, doi: 10.1109/TCSI.2016.2566278.

 

3. I. Vourkas, G. Papandroulidakis, G. Ch. Sirakoulis, and A. Abusleme, “2T1M-Based Double Memristive Crossbar Architecture for In-Memory Computing,” International Journal of Unconventional Computing, vol. 12, no. 4, pp. 265-280, 2016.

 

4. G. Papandroulidakis, I. Vourkas, and G. Ch. Sirakoulis, “Composite memristive nano-architectures with memory and in memory computing capabilities,” presented in workshop on Memristor Technology, Design, Automation and Computing (MemTDAC) affiliated with the HiPEAC 2016 Conference, Amsterdam, Netherlands, 18-20 January 2016.

 

5. Ch. Sichonidis, I. Vourkas, N. Mitianoudis, and G. Ch. Sirakoulis, "A memristive circular buffer for real-time signal processing," 2016 5th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, 2016, pp. 1-4. doi: 10.1109/MOCAST.2016.7495153

 

6. I. Vourkas, A. Abusleme, V. Ntinas, G. Ch Sirakoulis, and A. Rubio, "A Digital Memristor Emulator for FPGA-Based Artificial Neural Networks," presented in Verification and Security IEEE International Workshop (IVSW), Catalunya, Spain, July 4-6, 2016, pp. 1-4.

 

7. I. Vourkas, A. Abusleme, G. Ch Sirakoulis, and A. Rubio, "1-D Memristor Networks as Ternary Storage Cells," 15th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2016), Dresden, Germany, 23-25 August 2016.

 

8. S. Zuin, M. Escudero López, F. Moll, A. Rubio, I. Vourkas and G. Ch. Sirakoulis, "Experience on Material Implication Computing with an Electromechanical Memristor Emulator," accepted for presentation in 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), 6-9 December 2016, Athens, Greece.

 

9. M. Rahimi Azghadi, B. Linares-Barranco, D. Abbott, P. H.W. Leong, "A Hybrid CMOS memristor Neuromorphic Synapse," IEEE Trans. on Biomedical Circuits and Systems, in Press.

 

10. H. Mostafa, C. Mayr, G. Indiveri, “Beyond Spike-Timing Dependent Plasticity in Memristor Crossbar Arrays”, In International Symposium on Circuits and Systems, (ISCAS), 2016, IEEE, 2016.

 

11. R. George, C. Mayr, G. Indiveri, S. Vassanelli , “Event-based softcore processor in a biohybrid setup applied to structural plasticity”, In Event-based Control, Communication, and Signal Processing (EBCCSP), 2015 International Conference on, 2015.

 

12. Alessandro Vallero, Ioulia Tzouvadaki, Francesca Puppo, Marie-Agnès Doucey, Jean-François Delaloye, Giovanni De Micheli, and Sandro Carrara, Memristive Biosensors Integration with Microfluidic Platform, IEEE Transactions on Circuits and Systems I (TCAS I), 2016, in press

 

13. Ioulia Tzouvadaki, Pawan Jolly, Xiaoling Lu, Sven Ingebrandt, Giovanni de Micheli, Pedro Estrela, Sandro Carrara, Label-Free Ultrasensitive Memristive Aptasensor, Nano Letters, 16 (2016), pp 4472–4476

 

14. Ioulia Tzouvadaki, N. Madaboosi, Irene Taurino, V. Chub, J.P. Conde, G. De Micheli , S. Carrara, Study on the Bio-functionalization of Memristive Nanowires for Detection of Prostate Cancer Biomarkers, RSC Journal of Materials Chemistry B 4(2016) 2153-2162

 

15. Ioulia Tzouvadaki, Francesca Puppo, Marie-Agnès Doucey, Giovanni De Micheli, Sandro Carrara, Computational Study on the Electrical Behavior of Silicon Nanowire Memristive Biosensors, IEEE Sensors Journal 15(2015) 6208-6217

 

16. Ioulia Tzouvadaki, X. Lu, G. De Micheli, S. Ingebrandt, S. Carrara, Nano-Fabricated Memristive Biosensors for Biomedical Applications with Liquid and Dried Samples, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, 2016, pp. 295-298. doi: 10.1109/EMBC.2016.7590698.

 

17. Ioulia Tzouvadaki and Alessandro Vallero, Francesca Puppo, Giovanni De Micheli, Sandro Carrara, Resistance impact by long connections on electrical behavior of integrated Memristive Biosensors, proceedings of the International IEEE Conference ISCAS 2016, Montreal (Canada), 385-388 - Among Best Selected Papers invited to journal special issue

 

18. Ioulia Tzouvadaki and N.Srinivasan,
R. R. G. Soares, J-P.Conde, Virginia Chu, Giovanni De Micheli, Sandro Carrara, Bio-functionalization study of Memristive- Biosensors for Early Detection of Prostate Cancer, IEEE Prime Conference 2015, pp. 17-20 Gold Leaf Award

 

19. N. Talati, S. Gupta, P. Mane, and S. Kvatinsky, “Logic Design within Memristive Memories Using Memristor Aided loGIC (MAGIC),”IEEE Transactions on Nanotechnology, Vol. 15, No. 4, pp. 635-650, July 2016.

 

20. L. Azriel and S. Kvatinsky, "Towards a Memristive Hardware Secure Hash Function (MemHash)", Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust (HOST), May 2017 (in press).

 

21. R. Ben-Hur and S. Kvatinsky, "Memristive Memory Processing Unit (MPU) Controller for In-Memory Processing", Proceedings of the IEEE International Conference on Science of Electrical Engineering, November 2016.

 

22. R. Ben-Hur, N. Talati, and S. Kvatinsky, "Algorithmic Considerations in Memristive Memory Processing Units (MPU)," Proceedings of the International Cellular Nanoscale Networks and their Applications, August 2016 (in press).

 

23. R. Ben-Hur and S. Kvatinsky, "Memory Processing Unit for In-Memory Processing," Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, July 2016 (in press).

 

24. H. Abu Hanna, L. Danial, S. Kvatinsky, and R. Daniel, "Modeling Biochemical Reactions and Gene Networks with Memristors," Proceeding of the IEEE Symposium on Biological Circuits and Systems, October 2017.

 

25. J. Yu, R. Nane, I. Ashraf, M. Taouil, S. Hamdioui, H. Corporaal, K.L.M. Bertels, “Skeleton-based Synthesis Flow for Computation-In-Memory Architectures”, IEEE Transactions on Emerging Topics in Computing, October 2017.

 

26. L. Danial, N. Wainstein, S. Kraus, and S. Kvatinsky, "DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2017.

 

27. Dozortsev, I. Goldshtein, S. Kvatinsky, "Analysis of the row grounding technique in a memristor-based crossbar array," Int. J. of Circ. Theory and Applications, Nov. 2017.

 

28. M. Rahimi Azghadi, B. Linares-Barranco, D. Abbott, P. H.W. Leong, "A Hybrid CMOS-memristor Neuromorphic Synapse," IEEE Trans. on Biomedical Circuits and Systems, vol. 11, No. 2, pp. 434-445 , April 2017.

 

29. J. Vavra, D. Biolek, "AN ENVELOPE DETECTOR BASED ON MEMRISTIVE SYSTEMS," Journal of Telecommunication, Electronic and Computer Engineering, vol. 9, No. 2-7, pp. 183-186, 2017.

 

30. N. Wainsten and S. Kvatinsky, "An RF Memristor Model and Memristive Single-Pole Double Throw Switches," Proceeding of the IEEE International Symposium on Circuits and Systems, May 2017.

 

31 M. Zidan, A. Chen, G. Indiveri, and W. Lu, "Memristive computing devices and applications," Journal of Electroceramics, Springer, pp. 1-17, 2017.

 

32. L. Azriel and S. Kvatinsky, "Towards a Memristive Hardware Secure Hash Function (MemHash)", Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust (HOST), May 2017.

 

33. M. Nair, L. Muller, G. Indiveri, "A differential memristive synapse circuit for on-line learning in neuromorphic computing systems," Nano Futures, vol. 1, No. 3, pp. 035003, IOP Publishing, 2017.

 

34. I. Tzouvadaki, N. Aliakbarinodehi, G. De Micheli, and S. Carrara, "Memristive Effect as a Novelty in Drug Monitoring," Nanoscale, 2017.

 

35. M. Barbareschi, A. Bosio, H.A. Du Nguyen, S. Hamdioui, M. Traiola, E. I. Vatajelu, “ Memristive devices: Technology, Design Automation and Computing Frontiers”, 12th International Conference on Design &Technology of Integrated Systems in Nanoscale Era (DTIS 2017), 4-6 April 2017, pp. 1-8.

 

36. C. Mohan, T. Serrano-Gotarredona, E. Vianello, L. Periniolla, C. Reita, J.M. de la Rosa, and B. Linares-Barranco, "On the Use of Offset Calibration Techniques for Low-Power Memristor Arrays Read-Out," International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017).

 

37. S. Kvatinsky, R. Ben-Hur, N. Talati, and N. Wald, "mMPU: Memristive Memory Processing Unit," International Conference on Memristive Materials, Devices & Systems, April 2017.

 

38. M. Klimo and O. Such, "Memristive Implementation of Fuzzy Logic for Cognitive Computing," FUTURE COMPUTING, 2017: The Ninth International Conference on Future Computational Technologies and Applications. Athens, Feb. 2017.

 

39. R. Hur, N. Wald, N. Talati, and S. Kvatinsky, "SIMPLE MAGIC: Synthesis and In-memory MaP-ping of Logic Execution for Memristor-Aided loGIC," ICCAD 2017.

 

40. J. Reuben, R. Ben-Hur, N. Wald, N. Talati, A. Ali, P.-E. Gaillardon, and S. Kvatinsky, "Memristive logic: A framework for evaluation and comparison," IEEE 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2017.

 

41. S. Naus, I. Tzouvadaki, P.-E. Gaillardon, A. Biscontini, G. De Micheli, and C. Sandro, "An efficient electronic measurement interface for memristive biosensors," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-4, 2017.

 

42. Ioulia Tzouvadaki, Nima Aliakbarinodehi, Giovanni De Micheli, Sandro Carrara, Memristive Aptasensors for Theranostics, International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2017), Athens, May, 2017.

 

43. S. Kvatinsky, A. Drori, E. Amrani, "Logic design using unipolar memristors," US Patent Application 20170345497, 2017.

 

44. S. Kvatinsky, A. Kolodny, Y. Hanein, "Memristive akers logic array," United States PatentUS 9548741 B1, 17-Jan. 2017.

 

45. N. Talati, A. Haj Ali, R. Ben Hur, N. Wald, R. Ronen, P.-E. Gaillardon, and S. Kvatinsky, "Practical Challenges in Delivering the Promises of Real Processing-in-Memory Machines," Proceedings of the Design Automation and Test in Europe, March 2018 (in press)

46. R. Ben Hur, N. Wald, N. Talati, and S. Kvatinsky, "Synthesis and Mapping of Boolean Functions for Memristor Aided Logic (MAGIC)," Proceeding of the IEEE International Conference on Circuits Aided Design, November 2017 (in press).