Siddarth K. Achar

Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66

Siddarth K. Achar, Jacob J. Wardzala, Leonardo Bernasconi et al. · Journal of Chemical Theory and Computation · 2022 · 53 citations

Classical Potential Approach, Engineering, Machine Learning +21

Efficiently Trained Deep Learning Potential for Graphane

Siddarth K. Achar, Linfeng Zhang, J. Karl Johnson · The Journal of Physical Chemistry C · 2021 · 38 citations

Thermal Fluctuations, Engineering, Machine Learning +21

Evaluation of the degree of rate control via automatic differentiation

Yilin Yang, Siddarth K. Achar, John R. Kitchin · AIChE Journal · 2022 · 18 citations · Full text

Engineering, Machine Learning, Value Function Approximation +18

Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces

Siddarth K. Achar, Julian Schneider, Derek A. Stewart · ACS Applied Materials & Interfaces · 2022 · 14 citations

Engineering, Material Simulation, Machine Learning Potentials +17