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David R Reichman

24PUBLICATIONS

67CO-AUTHORS

NanoelectronicsRadiation and matterLasers and quantum electronicsNonlinear optics and spectroscopyComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)

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Publications (24)

Sort by Publication Date:

|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

|Nov 10, 2023

Alloying Effects on Charge-Carrier Transport in Silver-Bismuth Double Perovskites.

Marcello Righetto, Sebastián Caicedo-Dávila, Maximilian T Sirtl

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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

Tomáš Bučko

2 joint publications

Omer Yaffe

2 joint publications

Leeor Kronik

2 joint publications

Martin Schwade

2 joint publications

Bernhard Kretz

Frequent Collaborators

5 joint publications

Sebastián Caicedo-Dávila

3 joint publications

Christian Gehrmann

2 joint publications

Andrew M Rappe

2 joint publications

Manuel Grumet

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