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Related Experiment Video

Updated: May 19, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

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Published on: April 12, 2019

MESMER: an open-source master equation solver for multi-energy well reactions.

David R Glowacki¹, Chi-Hsiu Liang, Christopher Morley

¹School of Chemistry, University of Leeds, Leeds LS2 9JT, UK. drglowacki@gmail.com

The Journal of Physical Chemistry. A

|August 22, 2012

Summary

This study introduces MESMER, a new open-source tool for simulating complex chemical kinetics. MESMER accurately models nonequilibrium chemical reactions by considering energy transfer, improving predictions across various chemical systems.

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Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method

Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method

Published on: July 19, 2019

Area of Science:

Chemical Physics
Computational Chemistry

Background:

Traditional chemical kinetics models like transition state theory (TST) and RRKM theory excel in specific limits (fast or slow relaxation).
Intermediate relaxation regimes, crucial for many natural chemical processes, lack well-established theoretical approaches.
Master equation methods have recently shown promise in analyzing nonequilibrium chemical kinetics.

Purpose of the Study:

To introduce MESMER (Master Equation Solver for Multi-Energy Well Reactions), a user-friendly, open-source software.
To facilitate kinetic simulations in systems with multi-well molecular energy landscapes and significant energy transfer effects.
To provide advanced statistical mechanics methods for enhanced kinetic modeling.

Main Methods:

Development of MESMER, an object-oriented, open-source code.
Implementation of master equation approaches for nonequilibrium kinetics.
Inclusion of specialized methods such as contracted basis sets and nonadiabatic RRKM theory for spin-hopping.

Main Results:

MESMER enables simulations of chemical kinetics across multi-well energy topologies where energy transfer is significant.
The software incorporates advanced statistical mechanics techniques for improved accuracy.
It is designed for broad applicability in atmospheric, combustion, and solution-phase chemistry.

Conclusions:

MESMER provides a robust tool for studying nonequilibrium chemical kinetics in complex systems.
The open-source nature and user-friendly design aim to foster wider adoption and development.
Advancements in computational tools like MESMER are expected to enable routine, reliable predictions of chemical kinetics as data and theory improve.