376 citations · 377 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2024★ 1 cited
Accelerating High-Throughput Phonon Calculations via Machine Learning Universal Potentials
Huiju Lee, Vinay I. Hegde, Chris Wolverton +1
Phonons play a critical role in determining various material properties, but conventional methods for phonon calculations are computationally intensive, limiting their broad applic…
cond-mat.mtrl-sci2024
Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability
Sarah I. Allec, Xiaonan Lu, Daniel R. Cassar +8
Glasses form the basis of many modern applications and also hold great potential for future medical and environmental applications. However, their structural complexity and large c…
cond-mat.mtrl-sci2016★ 376 cited
Computational Investigation of Half-Heusler Compounds for Spintronics Applications
Jianhua Ma, Vinay I. Hegde, Kamaram Munira +6
We present first-principles density functional calculations of the electronic structure, magnetism, and structural stability of 378 half-Heusler compounds (with …