activity
20202022
most citedLearned Force Fields Are Ready For Ground State Catalyst Discovery

15 citations · 23 across the 3 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

5 papers · 1 filter

cond-mat.mtrl-sci20227 cited

The temperature-dependence of carrier mobility is not a reliable indicator of the dominant scattering mechanism

Alex M. Ganose, Junsoo Park, Anubhav Jain

The temperature dependence of experimental charge carrier mobility is commonly used as a predictor of the dominant carrier scattering mechanism in semiconductors, particularly in t…

cond-mat.mtrl-sci202215 cited

Learned Force Fields Are Ready For Ground State Catalyst Discovery

Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose +6

We present evidence that learned density functional theory (``DFT'') force fields are ready for ground state catalyst discovery. Our key finding is that relaxation using forces fro…

cond-mat.mtrl-sci2020

Efficient calculation of carrier scattering rates from first principles

Alex M. Ganose, Junsoo Park, Alireza Faghaninia +3

The electronic transport behaviour of materials determines their suitability for technological applications. We develop an efficient method for calculating carrier scattering rates…

cond-mat.mtrl-sci2020

Benchmarking Materials Property Prediction Methods: The Matbench Test Set and Automatminer Reference Algorithm

Alexander Dunn, Qi Wang, Alex Ganose +2

We present a benchmark test suite and an automated machine learning procedure for evaluating supervised machine learning (ML) models for predicting properties of inorganic bulk mat…

cond-mat.mtrl-sci2020

High Thermoelectric Performance and Defect Energetics of Multi-pocketed Full-Heusler Compounds

Junsoo Park, Yi Xia, Alex Ganose +2

We report first-principles density-functional study of electron-phonon interactions and thermoelectric transport properties of full-Heusler compounds SrBiAu and SrSbAu.…