Siddarth Achar
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    • Deep-learning potentials for proton transport in double-sided graphanol
    • Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions
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    • Fast Proton Transport on Graphanol: Mechanistic Insights from Machine Learning and Lattice Models
    • In Silico Demonstration of Fast Anhydrous Proton Conduction on Graphanol
    • Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces
    • Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces
    • Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66
    • Evaluation of the degree of rate control via automatic differentiation
    • Efficiently Trained Deep Learning Potential for Graphane
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Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces

Dec 1, 2022·
Siddarth K. Achar
,
Julian Schneider
,
Derek A. Stewart
· 0 min read
Cite DOI URL
Type
Journal article
Publication
ACS Applied Materials & Interfaces
Last updated on Dec 1, 2022
← Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces Dec 1, 2022
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