Abstract:The potential energy surface (PES) plays a central role in chemistry. As the size of the reaction system increases, it would be more and more difficult to develop its globally accurate full-dimensional PES. One unavoidable difficulty is that it is too expensive to calculate electronic energies of ample configurations for complicated reactions. Δ-machine learning is a highly cost-effective method as only a small number of high-level ab initio energies are required to improve a potential energy surface (PES) fit… Show more
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