2 papers
cond-mat.soft2026
From oligomers to entangled polymers: How to train a transferable machine learning interatomic potential
Mirko Fischer, Andreas Heuer
Over the past decade, Machine Learning Interatomic Potentials (MLIPs) have emerged as a powerful technique for performing molecular dynamics (MD) simulations with nearly ab initio…
stat.AP2024
Match predictions in soccer: Machine learning vs. Poisson approaches
Mirko Fischer, Andreas Heuer
Predicting the results of soccer matches is of great interest. This is not only due to the popularity of the sport and the joy of private "betting rounds", but also due to the larg…