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I have been using FLARE (ACE descriptor + sparse GP) lately.
The on-the-fly training was successful and I am glad that the resultant model has provided a decent force validation compared with DFT results.
However, the total potential energy given by the GP model is observing a constant shift, and the amount of such shifting is consistent across validation sets with different energy ranges:
In other attempts of training, such shift may be different as well:
It seems to be a issue in hyperparameter optimization, since the hyperparameters for the noise of energy ended up relatively high:
As for the related setting, I have set the initial noise of energy at 0.063 as the recommended 0.001*atom numbers; hyperparameters are optimized after every 10 DFT calls and maximum iterations of optimization is 100.
Do you have any suggestion on this issue?
The text was updated successfully, but these errors were encountered:
Hi, FLARE developer team,
I have been using FLARE (ACE descriptor + sparse GP) lately.
The on-the-fly training was successful and I am glad that the resultant model has provided a decent force validation compared with DFT results.
However, the total potential energy given by the GP model is observing a constant shift, and the amount of such shifting is consistent across validation sets with different energy ranges:
In other attempts of training, such shift may be different as well:
It seems to be a issue in hyperparameter optimization, since the hyperparameters for the noise of energy ended up relatively high:
As for the related setting, I have set the initial noise of energy at 0.063 as the recommended 0.001*atom numbers; hyperparameters are optimized after every 10 DFT calls and maximum iterations of optimization is 100.
Do you have any suggestion on this issue?
The text was updated successfully, but these errors were encountered: