122 citations · 396 across the 10 of their papers we have counts for
3 papers · 1 filter
Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design
Tyler Hennen, Leon Brackmann, Tobias Ziegler +5
We present a fast generative modeling approach for resistive memories that reproduces the complex statistical properties of real-world devices. To enable efficient modeling of anal…
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…
Resistive switching acceleration induced by thermal confinement
Alexandros Sarantopoulos, Kristof Lange, Francisco Rivadulla +2
Enhancing the switching speed of oxide-based memristive devices at a low voltage level is crucial for their use as non-volatile memory and their integration into emerging computing…