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This Python package is a reference implementation of the DECAF fingerprint algorithm, as presented in the manuscript "An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields" (arXiv:1709.09235). It also implements other functionalities such as Gaussian Process Regression and visualization etc.
molecualr fingerprints, rotational invariance, feature design, quadrature, Gaussian Process Regression, Python
molecualr fingerprints, rotational invariance, feature design, quadrature, Gaussian Process Regression, Python
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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