Comments (6)
We have made a plan to implement soap derivatives, both numerical and analytical, on periodic systems (with some constraints). We will make an effort to finish it by the end of this year.
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Hi,
Thank you for the suggestion. We will see what we can do, and try to get back to you in a few weeks.
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Hi,
I want to train the nn potential to predict energy and force for materials. However, when periodic = True, and the derivatives are not realized. So, I hope the derivatives can be applied for materials in the future
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Hey, would it be possible to use numerical derivatives for periodic systems if the lines 706 - 709 are deleted? I had tried it, and it worked, but I am not sure if I am not missing something
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Could you try installing directly from branch v2.0.0? The numerical derivatives for periodic systems are implemented there, and will be made into a new release soon.
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Now available in v2.0.0
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Related Issues (20)
- Is it possible to parallelize `lmbtr.create` when working on one `ase.Atoms` object? HOT 3
- Error with np.str (NumPy >= 1.24) HOT 1
- Descriptor that recognizes each atom of the same species differently HOT 1
- The example in README.md is not correct HOT 1
- [Bug] Error in SOAP derivatives when using weighting. HOT 2
- API compatibility is broken since 0696656 HOT 1
- ACSF.create cannot accept cartesian positions as "centers" parameter HOT 2
- Numpy operations on sparsed derivatives HOT 5
- Similarity based on Average kernel obtain deferent value between each atom and its replica atoms. HOT 1
- Similarity value is different between equivalent atoms HOT 5
- Segmentation fault in SOAP for l_max > 9 HOT 2
- Analytic Integral of SH expansion coefficients HOT 2
- SOAP polynomial RBF error HOT 3
- issue with "species" HOT 2
- MBTR HOT 3
- ACSF G5 values HOT 2
- Segmentation fault in creation of SOAP descriptor HOT 4
- Analytical derivatives of SOAP HOT 4
- Identical geometry but similarity < 1 HOT 4
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