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As we known, DPA-1(or GPT) is a pre-training model for reducing overhead of training set. So I have an idea that if there is a pre-training model for DeePKS, we can get higher accuracy (e.g. hybrid functionals) but lower calculating costs without training step or just need a few training set?
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As we known, DPA-1(or GPT) is a pre-training model for reducing overhead of training set. So I have an idea that if there is a pre-training model for DeePKS, we can get higher accuracy (e.g. hybrid functionals) but lower calculating costs without training step or just need a few training set?
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