2 papers
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…
cond-mat.mtrl-sci2022
Tunable intervalence charge transfer in ruthenium Prussian blue analogue enables stable and efficient biocompatible artificial synapses
Donald A. Robinson, Michael E. Foster, Christopher H. Bennett +12
Emerging concepts for neuromorphic computing, bioelectronics, and brain-computer interfacing inspire new research avenues aimed at understanding the relationship between oxidation…