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David Egger

Prof. Dr.

Associate

David Egger

is Professor of Theory of Functional Energy Materials at TU Munich.

He conducts research in the area of computational modeling for materials using quantum-mechanical methods, molecular dynamics, and machine learning. His main research focuses on accelerated computational predictions and discovery of new materials for energy conversion and storage technologies.

Publications @MCML

2025


[1]
F. P. Delgado • F. Simões • L. Kronik • W. Kaiser • D. A. Egger
Machine-Learning Force Fields Reveal Shallow Electronic States on Dynamic Halide Perovskite Surfaces.
Preprint (Feb. 2025). arXiv