asyncmd: A python library to orchestrate complex molecular dynamics simulation campaigns on high performance computing systems

Python Submitted 06 May 2025Published 14 August 2025
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Editor: @espottesmith (all papers)
Reviewers: @braniii (all reviews), @corettialessandro (all reviews)

Authors

Hendrik Jung (0000-0002-2159-0391), Gerhard Hummer (0000-0001-7768-746X)

Citation

Jung et al., (2025). asyncmd: A python library to orchestrate complex molecular dynamics simulation campaigns on high performance computing systems. Journal of Open Source Software, 10(112), 8321, https://doi.org/10.21105/joss.08321

@article{Jung2025, doi = {10.21105/joss.08321}, url = {https://doi.org/10.21105/joss.08321}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {112}, pages = {8321}, author = {Jung, Hendrik and Hummer, Gerhard}, title = {asyncmd: A python library to orchestrate complex molecular dynamics simulation campaigns on high performance computing systems}, journal = {Journal of Open Source Software} }
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python molecular dynamics molecular dynamics simulation enhanced sampling gromacs high performance computing hpc slurm biophysics chemistry

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