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researcher

S. S. P. Hessmann

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.chem-ph1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedGenerative Pseudo-Force Fields for Molecular Generation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2026★ 1 cited

Generative Pseudo-Force Fields for Molecular Generation

Stefaan Simon Pierre Hessmann, Khaled Kahouli, Stefan Gugler +4

Generating stable molecular conformations typically forces a tradeoff between the physical realism of energy-based relaxation and the sampling efficiency of data-driven generative…

physics.comp-ph2024

Accelerating crystal structure search through active learning with neural networks for rapid relaxations

Stefaan S. P. Hessmann, Kristof T. Schütt, Niklas W. A. Gebauer +3

Global optimization of crystal compositions is a significant yet computationally intensive method to identify stable structures within chemical space. The specific physical propert…

physics.chem-ph2024

Molecular relaxation by reverse diffusion with time step prediction

Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller +3

Molecular relaxation, finding the equilibrium state of a non-equilibrium structure, is an essential component of computational chemistry to understand reactivity. Classical force f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.