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I converted the QE md.out file into extxyz format as shown below:
576
energy=-623243.625163 config_type=nep2xyz pbc="T T T" Lattice="19.780973 -0.013912 -0.001887 -0.013912 19.792592 -0.003305 -0.002169 -0.003798 22.621331" Properties=species:S:1:pos:R:3:force:R:3
O 0.034695 0.063708 0.066629 0.415262 0.327405 0.287464
Te 0.000359 0.011593 0.001766 0.111378 -0.552271 -0.230790
Then I used dpdata to split the dataset into training and validation sets.
In the lcurve.out file the training and validation loss curves appear to overlap nicely, yet the correlation between the predicted and original data is very poor.
So I would like to ask for help. Could the problem come from the extxyz file format? Is there any recommended way to convert the MD log file output by QE directly with dpdata? Thank you very much for your help!
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Hi Developers,
I converted the QE md.out file into extxyz format as shown below:
576
energy=-623243.625163 config_type=nep2xyz pbc="T T T" Lattice="19.780973 -0.013912 -0.001887 -0.013912 19.792592 -0.003305 -0.002169 -0.003798 22.621331" Properties=species:S:1:pos:R:3:force:R:3
O 0.034695 0.063708 0.066629 0.415262 0.327405 0.287464
Te 0.000359 0.011593 0.001766 0.111378 -0.552271 -0.230790
Then I used dpdata to split the dataset into training and validation sets.


In the lcurve.out file the training and validation loss curves appear to overlap nicely, yet the correlation between the predicted and original data is very poor.
So I would like to ask for help. Could the problem come from the extxyz file format? Is there any recommended way to convert the MD log file output by QE directly with dpdata? Thank you very much for your help!
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