46 citations · 74 across the 4 of their papers we have counts for
4 papers
A literature-derived dataset of migration barriers for quantifying ionic transport in battery materials
Reshma Devi, Avaneesh Balasubramanian, Keith T. Butler +1
The rate performance of any electrode or solid electrolyte material used in a battery is critically dependent on the migration barrier () governing the motion of the intercala…
Leveraging transfer learning for accurate estimation of ionic migration barriers in solids
Reshma Devi, Keith T. Butler, Gopalakrishnan Sai Gautam
Ionic mobility determines the rate performance of several applications, such as batteries, fuel cells, and electrochemical sensors and is exponentially dependent on the migration b…
Optimal pre-train/fine-tune strategies for accurate material property predictions
Reshma Devi, Keith T. Butler, Gopalakrishnan Sai Gautam
Overcoming the challenge of limited data availability within materials science is crucial for the broad-based applicability of machine learning within materials science. One pathwa…
Performance of the rSCAN functional in transition metal oxides
S. Swathilakshmi, Reshma Devi, Gopalakrishnan Sai Gautam
We assess the accuracy and computational efficiency of the recently developed meta-generalized gradient approximation (metaGGA) functional, the restored regularized strongly constr…