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ZENODO
Event . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Event . 2024
License: CC BY
Data sources: Datacite
ZENODO
Event . 2024
License: CC BY
Data sources: Datacite
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Workshop: Learn to code in GROMACS (2024)

Authors: Mark, Abraham; Alekseenko, Andrey; Wingbermuehle, Sebastian; Lundberg, Magnus; Hess, Berk;

Workshop: Learn to code in GROMACS (2024)

Abstract

The aim of the workshop is to provide attendees with the basis for coding in GROMACS and contributing to the GROMACS developer community. The workshop consists of lectures with Q&A sessions and hands-on sessions with mentoring and covers the following topics: software structure and interface GROMACS GitLab and version control CI and testing best practice in the GMX developer community All the trainers and mentors belong to the GROMACS team. Here you can find the recorded material play list 

Related Organizations
Keywords

GROMACS, Scientific code development, molecular dynamics

  • BIP!
    Impact byBIP!
    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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Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average