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Stefaan Hessmann

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Technische Universität Berlin
Machine Learning

Marchstraße 23, 10587 Berlin
https://www.tu.berlin/en/ml

Stefaan Hessmann BIFOLD researcher
© Hessmann

Stefaan Hessmann

Doctoral Researcher

Stefaan Hessmann is a doctoral researcher at the Machine Leraning group at Technische Universität Berlin. He obtained his Bachelor's degree in Physics from Technische Universität Dresden and subsequently pursued his studies in Computational Sciences at Freie Universität Berlin. At present, his research primarily focuses on the application of deep neural networks in the field of materials sciences. 
 

  • Quantum Chemistry
  • Deep Learning
  • Materials Science
  • Generative Models
     

Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas Wolf Andreas Gebauer

Molecular relaxation by reverse diffusion with time step prediction

April 16, 2024
https://arxiv.org/abs/2404.10935

Kristof T. Schütt, Stefaan S.P. Hessmann, Niklas W.A. Gebauer, Jonas Lederer, Michael Gastegger

SchNetPack 2.0: A neural network toolbox for atomistic machine learning

April 12, 2023
https://doi.org/10.1063/5.0138367