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Hyperparameter optimization giving abnormally high energy noise #403

@MorAnyAn

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@MorAnyAn

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:

image

In other attempts of training, such shift may be different as well:

K3_Energy_Validation_FLARE_1

It seems to be a issue in hyperparameter optimization, since the hyperparameters for the noise of energy ended up relatively high:

image

image

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?

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