529 citations · 529 across the 1 of their papers we have counts for
2 papers
physics.chem-ph2026
A strategic roadmap for an atomistic machine-learning ecosystem
Jörg Behler, Michele Ceriotti, Cecilia Clementi +46
Data-driven machine learning (ML) techniques have become an essential tool in many domains of science. Their application to atomistic simulations of matter is particularly widespre…
cond-mat.mtrl-sci2019★ 529 cited
Many-body perturbation theory calculations using the yambo code
D. Sangalli, A. Ferretti, H. Miranda +17
yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires groun…