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Description
Dear,
I’m using NequIP to train a model specifically for predicting forces in defected structures. While the model performs well on non-defected atoms, the accuracy of force predictions on atoms near the defect is significantly lower.
I’m already using a higher weight for the force RMSE in the loss function:
loss:
target: nequip.train.EnergyForceMetrics
coeffs:
per_atom_energy_rmse: 1.0
forces_rmse: 5.0
However, this doesn’t seem to sufficiently improve predictions for the defect region.
Is there a recommended way to emphasize or reweight the contribution of atoms near a defect during training?
Alternatively, is there a loss function or training strategy better suited for systems with localized anomalies like defects?
Any advice or guidance would be greatly appreciated.
Kind regards,
Boris