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If you only train each pair of them but not the mixture of them, the model can only be able to predict these pairs. However, in this case, I can't see the advantage of a single model instead of multiple models. |
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If I have a system which has 20 different elements, how to train a model for them? Can I run AIMD for each pair of them and then use Deepmd-kit to combine them and train a model? Thank you very much!
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