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most citedMultiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

184 citations · 288 across the 10 of their papers we have counts for

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cond-mat.mtrl-sci2023★ 19 cited

Explainable Machine Learning for Hydrogen Diffusion in Metals and Random Binary Alloys

Grace M. Lu, Matthew Witman, Sapan Agarwal +2

Hydrogen diffusion in metals and alloys plays an important role in the discovery of new materials for fuel cell and energy storage technology. While analytic models use hand-select…