2 papers
cond-mat.mtrl-sci2026
Geometry-Based Neural-Network Prediction of Electron Localization Function Topology in Dense Hydrogen
Xiaoyu Wang, Miriam Marqués, Sergio Gómez +3
We develop a machine-learning framework to predict the electron localization function (ELF) of pure, dense hydrogen directly from atomic geometry, bypassing explicit electronic-str…
cond-mat.supr-con2025
Real-space understanding of electron-phonon coupling in superconducting hydrides
Trinidad Novoa, Francesco Belli, Raffaello Bianco +2
Electron-phonon coupling is at the origin of conventional superconductivity, enabling the pairing of electrons into Cooper pairs. The electron-phonon matrix elements depend on the…