David R Reichman

25PUBLICATIONS
75CO-AUTHORS
Electrical energy storageNanoelectronicsRadiation and matterLasers and quantum electronicsNonlinear optics and spectroscopy
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Publications (25)

|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

|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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