Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements
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Machine learning potentials (MLPs) can enable simulations of ab initio accuracy at orders of magnitude lower computational cost. However, their effectiveness hinges on the availability of considerable data sets to ensure robust generalization across chemical s... ...
