Publications

Yiwen He, Mattheus De Souza, Tian‐Yi Luo, Siddarth K. Achar, J. Karl Johnson, Nathaniel L. Rosi (2024). Leveraging Ligand Steric Demand to Control Ligand Exchange and Domain Composition in Stratified Metal–Organic Frameworks. Angewandte Chemie.

Siddarth K. Achar, Leonardo Bernasconi, Juan J. Alvarez, J. Karl Johnson (2023). Deep-learning potentials for proton transport in double-sided graphanol. Journal of Materials Research.

Siddarth K. Achar, Leonardo Bernasconi, Juan J. Alvarez, J. Karl Johnson (2023). Deep-learning potentials for proton transport in double-sided graphanol. Journal of Materials Research.

Siddarth K. Achar, Leonardo Bernasconi, J. Karl Johnson (2023). Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions. Nanomaterials.

Siddarth K. Achar, Leonardo Bernasconi, Ruby I. DeMaio, Katlyn R. Howard, J. Karl Johnson (2023). In Silico Demonstration of Fast Anhydrous Proton Conduction on Graphanol. ACS Applied Materials & Interfaces.

Siddarth Achar, Leonardo Bernasconi, Ruby DeMaio, Katlyn Howard, J. Karl Johnson (2023). In Silico Demonstration of Fast Anhydrous Proton Conduction on Graphanol. American Chemical Society (ACS).

Siddarth Achar, Leonardo Bernasconi, Ruby DeMaio, Katlyn Howard, J. Karl Johnson (2023). Fast Proton Transport on Graphanol: Mechanistic Insights from Machine Learning and Lattice Models. American Chemical Society (ACS).

Siddarth Achar, Leonardo Bernasconi, Juan Alvarez, J. Karl Johnson (2023). Deep-Learning Potentials for Proton Transport in Double-Sided Graphanol. American Chemical Society (ACS).

Siddarth K. Achar, Julian Schneider, Derek A. Stewart (2022). Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces. ACS Applied Materials & Interfaces.

Siddarth K. Achar, Julian Schneider, Derek A. Stewart (2022). Using Machine Learning Potentials to Explore Interdiffusion at Metal–Chalcogenide Interfaces. ACS Applied Materials & Interfaces.