activity
20222025
most citedExplainable Machine Learning for Hydrogen Diffusion in Metals and Random Binary Alloys

19 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2025

Orientational Disorder of NH in Hexammine Magnesium Borohydride

Liam A. V. Nagle-Cocco, Andreas Schneemann, Kevin H. Stone +3

Hexammine magnesium borohydride, Mg(NH)(BH), consists of adducted NH molecules locked in a matrix of Mg cations and borohydride anions. It is a candidate materi…

cond-mat.mtrl-sci2025

Enhancement of hydrogen absorption and hypervalent metal hydride formation in lanthanum using cryogenic ball milling

Sakun Duwal, Vitalie Stavila, Catalin Spataru +11

Rare earth superhydrides exhibit high temperature superconductivity but are difficult to characterize and use in applications due to their high formation and stability pressures, w…

cond-mat.mtrl-sci2025

Enhancing TiFe Alloy Activation for Hydrogen Storage Through Al, Cr, Co, and Cu Substitutions as a Step Towards Future Recycling

Francesca Garelli, Erika Michela Dematteis, Vitalie Stavila +6

This study investigates the activation behavior of - (X = Co, Cu, Cr, Al) alloys to identify the most effective materials for producing hydrogen storage allo…

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…