activity
20162026
most citedCommunication: Charge-Population Based Dispersion Interactions for Molecules and Materials

47 citations · 108 across the 6 of their papers we have counts for

collaborators

7 papers

physics.chem-ph2026

Latent unified smooth Hamiltonians for excited state chemistry

David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2

We describe a neural network architecture and training procedure designed to model electronic ground and excited states of arbitrary molecular systems. By indirectly learning a lat…

physics.chem-ph2023★ 23 cited

libMBD: A general-purpose package for scalable quantum many-body dispersion calculations

Jan Hermann, Martin Stöhr, Szabolcs Góger +4

Many-body dispersion (MBD) is a powerful framework to treat van der Waals (vdW) dispersion interactions in density-functional theory and related atomistic modeling methods. Several…

physics.chem-ph2022★ 17 cited

Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations

Oliver T. Unke, Martin Stöhr, Stefan Ganscha +8

Molecular dynamics (MD) simulations allow atomistic insights into chemical and biological processes. Accurate MD simulations require computationally demanding quantum-mechanical ca…

physics.chem-ph2021★ 20 cited

Quantum-Mechanical Force Balance Between Multipolar Dispersion and Pauli Repulsion in Atomic van der Waals Dimers

Ornella Vaccarelli, Dmitry V. Fedorov, Martin Stöhr +1

The structure and stability of atomic and molecular systems with van der Waals (vdW) bonding are often determined by the interplay between attractive dispersion interactions and re…

physics.chem-ph2020★ 1 cited

Coulomb Interactions between Dipolar Quantum Fluctuations in van der Waals Bound Molecules and Materials

Martin Stöhr, Mainak Sadhukhan, Yasmine S. Al-Hamdani +2

Mutual Coulomb interactions between electrons lead to a plethora of interesting physical and chemical effects, especially if those interactions involve many fluctuating electrons o…

physics.chem-ph2020

Accurate Many-Body Repulsive Potentials for Density-Functional Tight-Binding from Deep Tensor Neural Networks

Martin Stöhr, Leonardo Medrano Sandonas, Alexandre Tkatchenko

We combine density-functional tight-binding (DFTB) with deep tensor neural networks (DTNN) to maximize the strengths of both approaches in predicting structural, energetic, and vib…

cond-mat.mtrl-sci2016★ 47 cited

Communication: Charge-Population Based Dispersion Interactions for Molecules and Materials

Martin Stöhr, Georg S. Michelitsch, John C. Tully +2

We introduce a system-independent method to derive effective atomic C coefficients and polarizabilities in molecules and materials purely from charge population analysis. This…