most citedPhysics-informed Hamiltonian learning for large-scale optoelectronic property prediction

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Hamiltonian learning reveals optoelectronic mechanisms across thermodynamic state space in soft semiconductors

Frederik Vonhoff, Jesper R. Pedersen, Frederico P. Delgado +5

Predicting optoelectronic response across thermodynamic state space requires coupling finite-temperature nuclear dynamics to electronic structure at scales where direct first-princ…

cond-mat.mtrl-sci2026

Interplay between Electronic Structure, Chemical Bonding, and Lattice Symmetry in Bismuth Vanadate

Philip Schwinghammer, Franziska S. Hegner, Frederico P. Delgado +5

Bismuth vanadate (BiVO) is a prototypical oxide photocatalyst that occurs in both tetragonal and monoclinic scheelite phases with markedly different photocatalytic and photoele…

cond-mat.mtrl-sci2025

Ultrafast light-induced formation of a metastable hidden state in bismuth vanadate

Viktoria F. Kunzelmann, Verena Streibel, Philip Schwinghammer +24

Bismuth vanadate (BiVO) is a key photocatalyst for solar fuel applications, yet fundamental questions remain regarding the nature of photogenerated polaronic states and the lat…

cond-mat.mtrl-sci2025★ 1 cited

Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction

Martin Schwade, Shaoming Zhang, Frederik Vonhoff +2

Predicting optoelectronic properties of large-scale atomistic systems under realistic conditions is crucial for rational materials design, yet computationally prohibitive with firs…

cond-mat.mtrl-sci2025

Analysis of real-space transport channels for electrons and holes in halide perovskites

Frederik Vonhoff, Maximilian J. Schilcher, David R. Reichman +1

Predicting and explaining charge carrier transport in halide perovskites is a formidable challenge because of the unusual vibrational and electron-phonon coupling properties of the…