76 citations · 93 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2024★ 17 cited
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…
cond-mat.mtrl-sci2024★ 76 cited
Effects of Grain Boundaries and Surfaces on Electronic and Mechanical Properties of Solid Electrolytes
Weihang Xie, Zeyu Deng, Zhengyu Liu +3
Extended defects, including exposed surfaces and grain boundaries, are critical to the properties of polycrystalline solid electrolytes in all-solid-state batteries (ASSBs). These…