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PYCV: a PLUMED 2 Module Enabling the Rapid Prototyping of Collective Variables in Python

Authors: Toni Giorgino;

PYCV: a PLUMED 2 Module Enabling the Rapid Prototyping of Collective Variables in Python

Abstract

PYCV enables PLUMED2 Collective Variables (CVs) and arbitrary functions to be defined and auto-differentiated in the Python language. Advantages of using PYCV over standard development of CVs in C++ are: functions may be prototyped in high-level code, using extensive mathematical libraries, and no boilerplate; just-in-time compilation occurs transparently: there are no compilation and link delays for code changes; CVs may be automatically differentiated in common cases. The code is organized as a standard PLUMED module: development occurs in a fork of the original repository. All code is in the src/pycv and regtest/pycv directories. Release for Zenodo and JOSS

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Keywords

plumed, molecular dynamics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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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