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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
plumed, molecular dynamics
plumed, molecular dynamics
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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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