Adaptive energy reference for machine-learning models of the electronic density of states
S Chong, F Grasselli, KK Huguenin-Dumittan… - arXiv preprint arXiv …, 2024 - arxiv.org
The electronic density of states (DOS) provides information regarding the distribution of
electronic states in a material, and can be used to approximate its optical and electronic …
electronic states in a material, and can be used to approximate its optical and electronic …
[HTML][HTML] Atoms as words: A novel approach to deciphering material properties using NLP-inspired machine learning on crystallographic information files (CIFs)
L Yadav - AIP Advances, 2024 - pubs.aip.org
In condensed matter physics and materials science, predicting material properties
necessitates understanding intricate many-body interactions. Conventional methods such as …
necessitates understanding intricate many-body interactions. Conventional methods such as …