collaborators

5 papers

cond-mat.stat-mech2026

Estimating Solvation Free Energies with Boltzmann Generators

Maximilian Schebek, Nikolas M. Froböse, Bettina G. Keller +1

Accurate calculations of solvation free energies remain a central challenge in molecular simulations, often requiring extensive sampling and numerous alchemical intermediates to en…

physics.comp-ph2026

Boltzmann Generators for Condensed Matter via Riemannian Flow Matching

Emil Hoffmann, Maximilian Schebek, Leon Klein +2

Sampling equilibrium distributions is fundamental to statistical mechanics. While flow matching has emerged as scalable state-of-the-art paradigm for generative modeling, its poten…

cond-mat.stat-mech2026

Assessing generative modeling approaches for free energy estimates in condensed matter

Maximilian Schebek, Jiajun He, Emil Hoffmann +3

The accurate estimation of free energy differences between two states is a long-standing challenge in molecular simulations. Traditional approaches generally rely on sampling multi…

cond-mat.stat-mech2025

Scalable Boltzmann Generators for equilibrium sampling of large-scale materials

Maximilian Schebek, Frank Noé, Jutta Rogal

The use of generative models to sample equilibrium distributions of many-body systems, as first demonstrated by Boltzmann Generators, has attracted substantial interest due to thei…

cond-mat.mtrl-sci2025

Efficient and BSE calculations of heterostructures within an all-electron framework

Maximilian Schebek, Ignacio Gonzalez Oliva, Claudia Draxl

The combination of two-dimensional materials into heterostructures offers new opportunities for the design of optoelectronic devices with tunable properties. However, computing ele…