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PyNCI

Authors: Almeida, Diogo A. F.;
Abstract

Python tool for analyzing non-covalent interactions (NCIs) from charge density cube files using Johnson et al's approach (https://doi.org/10.1021/ja100936w). Depends on Numpy, Matplotlib, and the Atomic Simulation Environment (ASE) Python package (https://doi.org/10.1088/1361-648X/aa680e).

{"references": ["J. Am. Chem. Soc. 2010, 132, 18, 6498\u20136506", "Ask Hjorth Larsen et al 2017 J. Phys.: Condens. Matter 29 273002"]}

Link to GitLab repository for more recent versions of the code: https://gitlab.com/diofalmeida/pynci

Related Organizations
Keywords

charge density, non-covalent

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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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