Paul Fuchs
Scholar

Paul Fuchs

Google Scholar ID: guCLXNoAAAAJ
Multiscale Modeling of Fluid Materials, Technical University of Munich
molecular dynamicsmachine learning
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Citations & Impact
All-time
Citations
15
 
H-index
2
 
i10-index
0
 
Publications
4
 
Co-authors
0
 
Contact
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Publications
6 items
Refining Machine Learning Potentials through Thermodynamic Theory of Phase Transitions
2025
Cited
0
Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials
2025
Cited
0
chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations
2025
Cited
0
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration
2025
Cited
0
chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics
Computer Physics Communications · 2024
Cited
6
JaxSGMC: Modular stochastic gradient MCMC in JAX
SoftwareX · 2024
Cited
2
Resume (English only)
Research Experience
  • No specific research experience or job positions provided.
Background
  • Research interests include differentiable simulations, machine learning, and uncertainty quantification.
Miscellany
  • No personal interests, hobbies, or other information provided.
Co-authors
0 total
Co-authors: 0 (list not available)