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Updated: May 25, 2026

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Published on: August 9, 2024
Classical reactive molecular dynamics implementations: state of the art.
Karim Farah1, Florian Müller-Plathe, Michael C Böhm
1Eduard-Zintl-Institut für Anorganische und Physikalische Chemie and Center of Smart Interfaces, Technische Universität Darmstadt, Petersenstrasse 20, 64287 Darmstadt, Germany. k.farah@theo.chemie.tu-darmstadt.de
This review categorizes reactive molecular dynamics (RMD) methods into two classes: sudden transition and smooth transition approaches. These RMD techniques simulate material reactions and time evolution, aiding in understanding polymerization and reaction mechanisms.
Area of Science:
- Computational Materials Science
- Chemical Physics
- Molecular Modeling
Background:
- Reactive Molecular Dynamics (RMD) is crucial for simulating material behavior, including chemical reactions and time evolution.
- Existing reviews by Srivastava and Garrison (1995) and Brenner (2000) provide foundational context for RMD methods.
- The development of force field approaches has enabled RMD to model complex chemical transformations in materials.
Purpose of the Study:
- To review and categorize reactive molecular dynamics (RMD) implementations developed over the last decade and earlier.
- To classify RMD methods into two distinct categories based on their approach to simulating chemical reactions.
- To highlight the applications and capabilities of different RMD classes in materials science and chemistry.
Main Methods:
- Classification of RMD methods into two classes: those using a reaction cutoff distance with sudden transitions, and those employing empirical reactive force fields with smooth transitions.
- Focus on RMD implementations that simulate time evolution and chemical reactions, excluding methods without time evolution (e.g., ab initio, DFT, MC) and certain hybrid QM/MM methods.
- Discussion of force field types used, including many-body, bond-order, and modified standard force fields (e.g., CHARMM, AMBER, MM3).
Main Results:
- The first RMD class, using cutoff distances, is suitable for generating equilibrated polymer structures and provides qualitative insights into polymerization.
- The second RMD class, based on empirical reactive force fields, allows for smooth transitions and is aimed at investigating reaction kinetics, mechanisms, and transition states.
- RMD methods reviewed are specifically those that simulate the time evolution of chemical systems, distinguishing them from static computational chemistry approaches.
Conclusions:
- RMD methods offer powerful tools for understanding material reactions at the atomic and molecular levels.
- The choice of RMD approach depends on the specific research question, ranging from structural generation to detailed mechanistic studies.
- Continued development in reactive force fields enhances the accuracy and scope of RMD simulations for chemical reactions in materials.
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