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authorYuri Victorovich <yuri@FreeBSD.org>2020-05-03 20:58:00 +0000
committerYuri Victorovich <yuri@FreeBSD.org>2020-05-03 20:58:00 +0000
commita20df57f875114ef255f28c08be99af8f0dd908c (patch)
tree2e7ecc4d899d8872a535c1bc9a18614cb32e1e9f /science/py-kliff/pkg-descr
parent053b0a869ea0a7b313a771e5afb1fd13ee2340b0 (diff)
downloadports-a20df57f875114ef255f28c08be99af8f0dd908c.tar.gz
ports-a20df57f875114ef255f28c08be99af8f0dd908c.zip
New port: science/py-kliff: KIM-based Learning-Integrated Fitting Framework
Notes
Notes: svn path=/head/; revision=533880
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+KLIFF is an interatomic potential fitting package that can be used to fit
+physics-motivated (PM) potentials, as well as machine learning potentials such
+as the neural network (NN) models.
+
+WWW: https://github.com/mjwen/kliff