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On-the-Fly Machine-Learned Force Fields for High-Fidelity Polymer Glass Transition Simulations
Predicting polymer glass transition temperatures (Tg) with first-principles fidelity has long remained out of reach, as cooling multi-thousand-atom systems over a broad temperature range at acceptable rates exceeds the computational limits of ab initio molecular dynamics (AIMD). Here we employ a hyb
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