Representing individual electronic states for machine learning GW band structures of 2D materials

The study introduces novel methods for representing electronic states as input to machine learning models, which is used to learn high-fidelity band structures of two-dimensional materials from low- fidelity input.

ग्रंथसूची विवरण
मुख्य लेखकों: Nikolaj Rørbæk Knøsgaard, Kristian Sommer Thygesen
स्वरूप: लेख
भाषा:English
प्रकाशित: Nature Portfolio 2022-02-01
श्रृंखला:Nature Communications
ऑनलाइन पहुंच:https://doi.org/10.1038/s41467-022-28122-0