Search Results for author:
Found 2 papers, 0 papers with code
Predicting hot-electron free energies from ground-state data
Machine-learning potentials are usually trained on the ground-state, Born-Oppenheimer energy surface, which depends exclusively on the atomic positions and not on the simulation temperature.
Learning the electronic density of states in condensed matter
The electronic density of states (DOS) quantifies the distribution of the energy levels that can be occupied by electrons in a quasiparticle picture, and is central to modern electronic structure theory.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
