output
20152025
most citedA recommendation engine for suggesting unexpected thermoelectric chemistries

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018 · cond-mat.mtrl-sciShow all

1 paper · 2 filters

cond-mat.mtrl-sci2018★ 179 cited

Machine-learned multi-system surrogate models for materials prediction

Chandramouli Nyshadham, Matthias Rupp, Brayden Bekker +6

Surrogate machine-learning models are transforming computational materials science by predicting properties of materials with the accuracy of ab initio methods at a fraction of the…