Yilun Liu

A single machine-learned potential accurately models copper-carbon interactions from equilibrium to extreme non-equilibrium conditions, enabling large-scale simulations for diverse applications.

This work introduces a model-aware schedule construction based on fiberwise optimal transport, and evaluates DDPMs and flow matching across prediction targets, training configurations, risk-estimation checkpoints, datasets, and architectures.