Comments (4)
Hi,
For k=2, x is the distance between the two atoms. For k=3, x is the length of the triangle perimeter formed by the three atoms, A->B->C->A.
This is mentioned here but not in the tutorials. I will add something about it.
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Very good! Thank you. One more question:
In this paragraph:
DScribe achieves the completely identical MBTR output for different periodic supercells by taking into account the translational multiplicity of the atomic pairs and triples in the system. This is done in practice by weighting the contribution of the pair and triples by how many different periodic repetitions of the original cell are involved in forming the pair or triple.
Is this an intrinsic side-effect of using l2_each
, i.e. normalising the k
-terms by l2
, or are you doing something additionally to get this to work?
from dscribe.
Also a very good question: The normalization alone is not sufficient in order to get completely identical output. Basically I have in the code a part that ensures that only one translationally unique combination of atoms (doubles, triples) is included for periodic systems. In periodic systems the system is extended beyond the cell boundaries, and thus the same combination may be repeated multiple times. This multiplicity is reduced by the code, as otherwise completely identical output for different cell shapes and sizes is not achieved (together with the normalization).
If you want to know more about this, I suggest opening up a new issue where I can give more details.
from dscribe.
Thank you!! Let's discuss further in #28.
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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
- Descsize of ASCF HOT 1
- conda channel has no function for features' derivatives
- `CoulombMatrix(permutation="sorted_l2")` is not symmetric HOT 5
- Naming incosistency of rcut in SOAP and MBTR HOT 2
- Potential memory leak in MBTR HOT 2
- Analytical derivatives of SOAP HOT 4
- Identical geometry but similarity < 1 HOT 4
- Numerical SOAP derivatives for periodic systems HOT 6
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