Publication alert "A Flexible and Fast Digital Twin for RRAM Systems Applied for Training Resilient Neural Networks"

This research introduces a digital twin model framework for RRAM-based computing systems, allowing real-time simulation of neural network training. The digital twin accelerates system design and improves the resilience assessment.

“A Flexible and Fast Digital Twin for RRAM Systems Applied for Training Resilient Neural Networks” M. Fritscher, S. Singh, T. Rizzi, A. Baroni, D. Reiser, M. Mallah, D. Hartmann, A. Bende, T. Kempen, U. Max, F. Dietmar, V. Rana, S. Menzel, M. Reichenbach, M. Krstic, F. Merchant, C. Wenger.  (2024). Scientific Reports, 14(1), 23695. https://doi.org/10.1038/s41598-024-73439-z

Dr. Vikas Rana

Dr.-Ing. Stephan Menzel