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source/_posts/tutorial1.md

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What? Only three steps?
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Yes, it's that simple.
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Preparing data is converting the computational results of DFT to data that can be recongized by the DeePMD-kit.
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Preparing data is converting the computational results of DFT to data that can be recognized by the DeePMD-kit.
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Training is train a Deep Potential model using the DeePMD-kit with data prepared in the previous step.
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Finally, what we need to do is to freeze the restart file in the training process into a model, in other words is to extract the neural network parameters into a file for subsequent use.
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I believe you can't wait to get started. Let's go!

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