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Technical University of Munich

Eike Eberhard

Technical University of Munich
Department of Computer Science - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 00.11.051
E-Mail: e.eberhard@tum.de

GitHub: ESEberhard
Google scholar: Google scholar

Research Interests

  • Machine learning for graphs and molecules
  • Machine learning for quantum chemistry
    • Density functional theory
    • Electronic structure modelling
    • Force-fields
  • AI4Science
  • Graph neural networks

Selected Publications

For a full list, see Google scholar.

Education

  • 2022 - 2024: M.Sc. Computational Science and Engineering (CSE), Technical University of Munich
    • Thesis: GNN-Based Global Exchange-Correlation Functionals in Kohn-Sham DFT
    • best of class, passed with high disctinction
  • 2021 - 2023: M.Sc. Biophysics, Technical University of Munich
    • Paper originating from Thesis: Force Generation by Enhanced Diffusion in Enzyme-Loaded Vesicles
      (Preprint) Eike Eberhard, Ludwig Burger, César L. Pastrana, Hamid Seyed-Allaei, Giovanni Giunta, Ulrich Gerland
    • passed with high distinction
  • 2017 - 2021: B.Sc. Physics, Technical University of Munich
    • Thesis: Extending Dispersive Bounds to Include Sub-threshold Branch Cuts
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