David R Reichman
25PUBLICATIONS
75CO-AUTHORS

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Publications (25)
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|Mar 20, 2026
Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction.Martin Schwade, Shaoming Zhang, Frederik Vonhoff
|Sep 30, 2025
Machine learning accelerates Raman computations from molecular dynamics for materials science.David A Egger, Manuel Grumet, Tomáš Bučko
|Sep 18, 2024
Rapid Characterization of Point Defects in Solid-State Ion Conductors Using Raman Spectroscopy, Machine-Learning Force Fields, and Atomic Raman Tensors.Willis O'Leary, Manuel Grumet, Waldemar Kaiser
|May 17, 2024
Disentangling the effects of structure and lone-pair electrons in the lattice dynamics of halide perovskites.Sebastián Caicedo-Dávila, Adi Cohen, Silvia G Motti
|Apr 01, 2024
Temperature-transferable tight-binding model using a hybrid-orbital basis.Martin Schwade, Maximilian J Schilcher, Christian Reverón Baecker
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Frequent Collaborators
5 joint publications
Sebastián Caicedo-Dávila
3 joint publications
Christian Gehrmann
2 joint publications
Andrew M Rappe
2 joint publications
Manuel Grumet
2 joint publications
Laura M Herz
2 joint publications
Waldemar Kaiser
2 joint publications
Omer Yaffe
2 joint publications
Leeor Kronik
2 joint publications
Martin Schwade
2 joint publications
Bernhard Kretz