crossrefAPL Machine Learning2026-07-17
Predicting the dynamic behavior of memristive devices using recurrent neural networks
Somayeh Rezaei, Benjamin Spetzler, Patrick Mäder
Charge-transport models provide quantitative and physically interpretable descriptions of memristive devices but are computationally prohibitive for highly iterative tasks in model-driven design workflows such as parameter space exploration, parameter extraction, and optimization…