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MemNNetSim: Memristive Nanowire Network Simulator. A proof-of-concept Python package for modelling and analyzing memristive random nanowire networks (NWNs). This package, developed by Marcus Kasdorf, was initiated from a summer research project in 2021 and continued to be developed under the supervision of Dr. Claudia Gomes da Rocha at the University of Calgary.

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• Installation
• Usage
• Examples
• NWN Attributes
• Reference

Bibliography

Some main relevant papers that this work builds off of are:

• A. V. Avizienis, H. O. Sillin, C. Martin-Olmos, H. H. Shieh, M. Aono, A. Z. Stieg and J. K. Gimzewski, PLoS ONE, 2012, 7, e42772.
• D. B. Strukov, G. S. Snider, D. R. Stewart and R. S. Williams, Nature, 2008, 453, 80-83
• H. O. Sillin, R. Aguilera, H. -H. Shieh, A. V. Avizienis, M. Aono, A. Z. Stieg and J. K. Gimzewski, Nanotechnology, 2013, 24, 384004.
• L. Chen, C. Li, T. Huang, H. G. Ahmad and Y. Chen, Physics Letters A, 2014, 378, 2924-2930
• K. Fu, R. Zhu, A. Loeffler, J. Hochstetter, A. Diaz-Alvarez, A. Stieg, J. Gimzewski, T. Nakayama and Z. Kuncic, 2020 International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8.

Acknowledgements

We acknowledge that this work, including the package and its supporting materials, has emanated from research supported by UCalgary Research, UCalgary Faculty of Science, the Natural Sciences and Engineering Research Council of Canada (NSERC) (USRA, Discovery Grant, and Alliance International Catalyst programs), the Quantum City initiative, and the NSERC Alliance - Alberta Innovates Advance Program (Streams I and II). We also acknowledge the Advanced Research Computing (ARC) at UCalgary, the specialized UCalgary Customer Technology Services team, the Digital Research Alliance of Canada (former Compute Canada), and CMC Microsystems for computational resources. We thank C. Soriano for the design and creation of the MemNNetSim logo and banner.