Many-Body eXpansion (MBX) is a C++ library that implements many-body potential energy functions (PEFs) within the “many-body energy” (MB-nrg) formalism. MB-nrg PEFs integrate an underlying polarizable model with explicit machine-learned representations of many-body interactions to achieve chemical accuracy from the gas to the condensed phases. MBX can be employed either as a stand-alone package or as an energy/force engine that can be integrated with generic software for molecular dynamics and Monte Carlo simulations. MBX is parallelized internally using Open Multi-Processing and can utilize Message Passing Interface when available in interfaced molecular simulation software. MBX enables classical and quantum molecular simulations with MB-nrg PEFs, as well as hybrid simulations that combine conventional force fields and MB-nrg PEFs, for diverse systems ranging from small gas-phase clusters to aqueous solutions and molecular fluids to biomolecular systems and metal-organic frameworks.
Skip Nav Destination
,
,
,
,
,
,
,
CHORUS
Article navigation
7 August 2023
Research Article|
August 01 2023
MBX: A many-body energy and force calculator for data-driven many-body simulations Available to Purchase
Marc Riera
;
Marc Riera
a)
(Conceptualization, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
Department of Chemistry and Biochemistry, University of California San Diego
, La Jolla, California 92093, USA
Search for other works by this author on:
Christopher Knight
;
Christopher Knight
b)
(Funding acquisition, Investigation, Software, Validation, Writing – original draft, Writing – review & editing)
2
Argonne National Laboratory, Computational Science Division
, Lemont, Illinois 60439, USA
Search for other works by this author on:
Ethan F. Bull-Vulpe
;
Ethan F. Bull-Vulpe
(Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
Department of Chemistry and Biochemistry, University of California San Diego
, La Jolla, California 92093, USA
Search for other works by this author on:
Xuanyu Zhu
;
Xuanyu Zhu
(Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
Department of Chemistry and Biochemistry, University of California San Diego
, La Jolla, California 92093, USA
Search for other works by this author on:
Henry Agnew
;
Henry Agnew
(Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing)
1
Department of Chemistry and Biochemistry, University of California San Diego
, La Jolla, California 92093, USA
Search for other works by this author on:
Daniel G. A. Smith
;
Daniel G. A. Smith
(Funding acquisition, Software, Writing – review & editing)
3
Molecular Sciences Software Institute
, Blacksburg, Virginia 24060, USA
Search for other works by this author on:
Andrew C. Simmonett
;
Andrew C. Simmonett
(Funding acquisition, Software, Writing – review & editing)
4
Laboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health
, Bethesda, Maryland 20892, USA
Search for other works by this author on:
Francesco Paesani
Francesco Paesani
c)
(Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Writing – original draft, Writing – review & editing)
1
Department of Chemistry and Biochemistry, University of California San Diego
, La Jolla, California 92093, USA
5
Materials Science and Engineering, University of California San Diego
, La Jolla, California 92093, USA
6
Halicioǧlu Data Science Institute, University of California San Diego
, La Jolla, California 92093, USA
7
San Diego Supercomputer Center, University of California San Diego
, La Jolla, California 92093, USA
c)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Marc Riera
1,a)
Christopher Knight
2,b)
Ethan F. Bull-Vulpe
1
Xuanyu Zhu
1
Henry Agnew
1
Daniel G. A. Smith
3
Andrew C. Simmonett
4
Francesco Paesani
1,5,6,7,c)
1
Department of Chemistry and Biochemistry, University of California San Diego
, La Jolla, California 92093, USA
2
Argonne National Laboratory, Computational Science Division
, Lemont, Illinois 60439, USA
3
Molecular Sciences Software Institute
, Blacksburg, Virginia 24060, USA
4
Laboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health
, Bethesda, Maryland 20892, USA
5
Materials Science and Engineering, University of California San Diego
, La Jolla, California 92093, USA
6
Halicioǧlu Data Science Institute, University of California San Diego
, La Jolla, California 92093, USA
7
San Diego Supercomputer Center, University of California San Diego
, La Jolla, California 92093, USA
c)Author to whom correspondence should be addressed: [email protected]
a)
Electronic mail: [email protected]
b)
Electronic mail: [email protected]
J. Chem. Phys. 159, 054802 (2023)
Article history
Received:
April 25 2023
Accepted:
July 11 2023
Citation
Marc Riera, Christopher Knight, Ethan F. Bull-Vulpe, Xuanyu Zhu, Henry Agnew, Daniel G. A. Smith, Andrew C. Simmonett, Francesco Paesani; MBX: A many-body energy and force calculator for data-driven many-body simulations. J. Chem. Phys. 7 August 2023; 159 (5): 054802. https://doi.org/10.1063/5.0156036
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
CREST—A program for the exploration of low-energy molecular chemical space
Philipp Pracht, Stefan Grimme, et al.
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.
Related Content
MB-Fit: Software infrastructure for data-driven many-body potential energy functions
J. Chem. Phys. (September 2021)
A compression strategy for particle mesh Ewald theory
J. Chem. Phys. (February 2021)
A simplified charge projection scheme for long-range electrostatics in ab initio QM/MM calculations
J. Chem. Phys. (January 2021)
A Monte Carlo simulation study of the temperature dependence for the conformation distribution of 1,2-dimethoxyethane in water
J. Chem. Phys. (February 1997)
A new intermolecular potential for hydrazine clusters: Structures and spectra
J. Chem. Phys. (May 1997)