Scholar
Jan Hermann
Google Scholar ID: 5TjVq0YAAAAJ
Microsoft Research AI for Science
Citations & Impact
Citations
4,559
H-index
17
i10-index
23
Publications
20
Co-authors
65
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous high-impact papers in journals such as Nature Chemistry, Nature Communications, and Journal of Chemical Physics
- Seminal work: Deep-neural-network solution of the electronic Schrödinger equation (Nat. Chem. 2020, cited 712 times)
- Co-developed DeepQMC, an open-source suite for variational optimization of deep-learning molecular wave functions (J. Chem. Phys. 2023)
- Contributed to highly accurate neural network models for real-space electron densities (J. Chem. Phys. 2025)
- Proposed a variational principle to regularize machine-learned density functionals (J. Chem. Phys. 2023)
- Developed libMBD, a general-purpose package for scalable quantum many-body dispersion calculations (J. Chem. Phys. 2023)
- Active in frontier research on machine learning in electronic structure, van der Waals interactions, and excited states
