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The equivariant_model is too rigid - as a user of the package / developer of models, I want to specify an arbitrary radial embedding. Here "radial" is a substitute for embedding everything that is invariant.
Specifically, I want to allow models that have Rnl and Ylm. The Rnl is just a function of xj i.e Rnl(xj) is some vector (embedding / basis). All the information how xj is transformed and then a basis is applied is hidden in there. The user/developer must guarantee that Rnl is invariant.
So the calling convention should be
radial, radial_spec =...# construct the radial embeddingequivariant_model(AAspec, maxL, radial, radial_spec)
The radial basis is so application specific that it should not be automatically generated, i.e., no default. But we can provide a few simple radial basis sets.
The radial_spec could also be stored inside radial if we can give it meta information. It's just a list of (n, l) tuples, i.e.,
The
equivariant_model
is too rigid - as a user of the package / developer of models, I want to specify an arbitrary radial embedding. Here "radial" is a substitute for embedding everything that is invariant.Specifically, I want to allow models that have
Rnl
andYlm
. TheRnl
is just a function ofxj
i.eRnl(xj)
is some vector (embedding / basis). All the information howxj
is transformed and then a basis is applied is hidden in there. The user/developer must guarantee thatRnl
is invariant.So the calling convention should be
The radial basis is so application specific that it should not be automatically generated, i.e., no default. But we can provide a few simple radial basis sets.
The
radial_spec
could also be stored insideradial
if we can give it meta information. It's just a list of(n, l)
tuples, i.e.,@zhanglw0521
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