most citedAn efficient forgetting-aware fine-tuning framework for pretrained universal machine-learning interatomic potentials

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physics.comp-ph2022

construction of full phase diagram of MgO-CaO eutectic system using neural network interatomic potentials

Kyeongpung Lee, Yutack Park, Seungwu Han

While several studies confirmed that machine-learned potentials (MLPs) can provide accurate free energies for determining phase stabilities, the abilities of MLPs for efficiently c…