Deep Learning GW Quasiparticle Hamiltonians for Many-Body Excited-State Electronic Structure at Scale

arXiv:2609.36962 · cond-mat.mes-hall, cond-mat.mtrl-sci, physics.comp-ph · Submitted 2026-09-29 · Read on arXiv

cond-mat.mes-hall, cond-mat.mtrl-sci, physics.comp-ph

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

Accuracy — 20× in this paper · explained in 1 episode
Fidelity — 10× in this paper · explained in 2 episodes
Effective Hamiltonian — 6× in this paper · explained in 2 episodes
Ab Initio — 5× in this paper · explained in 1 episode
Transferability — 5× in this paper · explained in 4 episodes
Frequency Dependence — 4× in this paper · explained in 2 episodes
Core — 3× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
DFT Calculations — 2× in this paper · explained in 2 episodes
Department of Energy — 2× in this paper
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Many-Body Effects — 2× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Generalization — 1× in this paper · explained in 13 episodes
Hamiltonian Learning — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Self-consistency — 1× in this paper · explained in 2 episodes
Symbolic Regression — 1× in this paper · explained in 5 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

Related papers