21 citations · 31 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 1 cited
Electronic structure prediction of medium and high entropy alloys across composition space
Shashank Pathrudkar, Stephanie Taylor, Abhishek Keripale +6
We propose machine learning (ML) models to predict the electron density -- the fundamental unknown of a material's ground state -- across the composition space of concentrated allo…
cs.LG2024★ 4 cited
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
Revanth Mattey, Susanta Ghosh
The gradient flow of the Ginzburg-Landau free energy functional leads to the Allen Cahn equation that is widely used for modeling phase separation. Machine learning methods f…