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Hi,
I am very new to DLPR models. I am trying to create a DPLR model for simple H2O molecules. I will explain the procedure I followed, and I have been facing a very high value of RMSE during training. I dont know what I am doing wrong.
I created 1200 structures using random perturbation of atoms and cell sizes not greater than 0.1 and 0.03, respectively. Then I did wannierization and collected the wannier centre for all the atoms.
I used the formula mentioned in the DLPR paper (https://arxiv.org/abs/2112.13327) to convert the Wannier centres to atomic dipoles. (I attached the code here)
wc_dipole.py
Then I created all the necessary data required to train a model. (energy.raw, box.raw, forces.raw, coord.raw and etc)
Then I ran deepmd to train these data.
input.json
I am getting an RMSE minimum of 0.3.
lcurve.txt
And the following is the standard output file.
out.txt
I dont know at which point I am making mistake. I have tried it with the 800 dataset and now with the 1200 dataset, but I get the same result. The RMSE is not improving. Could you please help me find a suitable model for these systems?
Best
Suresh
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