400 citations · 1.4k across the 22 of their papers we have counts for
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cs.ET2024★ 6 cited
Integration of Physics-Derived Memristor Models with Machine Learning Frameworks
Zhenming Yu, Stephan Menzel, John Paul Strachan +1
Simulation frameworks such MemTorch, DNN+NeuroSim, and aihwkit are commonly used to facilitate the end-to-end co-design of memristive machine learning (ML) accelerators. These simu…
physics.optics2024★ 1 cited
Heterogeneously Integrated Memristive Laser on Silicon with Non-Volatile Wavelength Tuning
Bassem Tossoun, Di Liang, Xia Sheng +2
The von-Neumann bottleneck has constrained computing systems from efficiently operating on the increasingly large demand in data from networks and devices. Silicon (Si) photonics o…