Preprint
Aug 2026
From oligomers to entangled polymers: How to train a transferable machine learning interatomic potential
This work investigates several aspects of developing MLIPs for polymers, utilizing polyethylene as a representative, yet simple model system, and finds that the ACE potential accurately reproduces key thermodynamic, structural and dynamical properties.
Mirko Fischer, Andrea Heuer
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