49 citations · 55 across the 8 of their papers we have counts for
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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★ 49 cited
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
Matthew L. Evans, Johan Bergsma, Andrius Merkys +56
The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enh…