15 citations · 15 across the 2 of their papers we have counts for
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cond-mat.mtrl-sci2021
Interpretable Machine Learning for Materials Design
James Dean, Matthias Scheffler, Thomas A. R. Purcell +3
Fueled by the widespread adoption of Machine Learning (ML) and the high-throughput screening of materials, the data-centric approach to materials design has asserted itself as a ro…
cond-mat.mtrl-sci2015★ 15 cited
First-principles theory of electron-spin fluctuation coupling and superconducting instabilities in iron selenide
Johannes Lischner, Timur Bazhirov, Allan H. MacDonald +2
We present first-principles calculations of the coupling of quasiparticles to spin fluctuations in iron selenide and discuss which types of superconducting instabilities this coupl…