Content area

Abstract

We present OpenMM-Python-Force, a plugin designed to extend OpenMM's functionality by enabling integration of energy and force calculations from external Python programs via a callback mechanism. During molecular dynamics simulations, data exchange can be implemented through torch.Tensor or numpy.ndarray, depending on the specific use case. This enhancement significantly expands OpenMM's capabilities, facilitating seamless integration of accelerated Python modules within molecular dynamics simulations. This approach represents a general solution that can be adapted to other molecular dynamics engines beyond OpenMM. The source code is openly available at https://github.com/bytedance/OpenMM-Python-Force.

Details

1009240
Identifier / keyword
Title
OpenMM-Python-Force: Deploying Accelerated Python Modules in Molecular Dynamics Simulation
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Dec 24, 2024
Section
Physics (Other)
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-12-25
Milestone dates
2024-12-24 (Submission v1)
Publication history
 
 
   First posting date
25 Dec 2024
ProQuest document ID
3149108656
Document URL
https://www.proquest.com/working-papers/openmm-python-force-deploying-accelerated-modules/docview/3149108656/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-26
Database
ProQuest One Academic