Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion
We develop a fragment-based ab initio molecular dynamics (FB-AIMD) method for efficient dynamics simulation of the combustion process. In this method, the intermolecular interactions are treated by a fragment-based many-body expansion in which three- or higher body interactions are neglected, while...
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| Format: | Article |
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MDPI AG
2021-05-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/26/11/3120 |
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| author | Liqun Cao Jinzhe Zeng Mingyuan Xu Chih-Hao Chin Tong Zhu John Z. H. Zhang |
| author_facet | Liqun Cao Jinzhe Zeng Mingyuan Xu Chih-Hao Chin Tong Zhu John Z. H. Zhang |
| author_sort | Liqun Cao |
| collection | DOAJ |
| description | We develop a fragment-based ab initio molecular dynamics (FB-AIMD) method for efficient dynamics simulation of the combustion process. In this method, the intermolecular interactions are treated by a fragment-based many-body expansion in which three- or higher body interactions are neglected, while two-body interactions are computed if the distance between the two fragments is smaller than a cutoff value. The accuracy of the method was verified by comparing FB-AIMD calculated energies and atomic forces of several different systems with those obtained by standard full system quantum calculations. The computational cost of the FB-AIMD method scales linearly with the size of the system, and the calculation is easily parallelizable. The method is applied to methane combustion as a benchmark. Detailed reaction network of methane reaction is analyzed, and important reaction species are tracked in real time. The current result of methane simulation is in excellent agreement with known experimental findings and with prior theoretical studies. |
| first_indexed | 2024-03-10T11:07:15Z |
| format | Article |
| id | doaj.art-42bf17d2e4204a20b1d99853a265c217 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-10T11:07:15Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-42bf17d2e4204a20b1d99853a265c2172023-11-21T21:01:59ZengMDPI AGMolecules1420-30492021-05-012611312010.3390/molecules26113120Fragment-Based Ab Initio Molecular Dynamics Simulation for CombustionLiqun Cao0Jinzhe Zeng1Mingyuan Xu2Chih-Hao Chin3Tong Zhu4John Z. H. Zhang5School of Chemistry and Molecular Engineering, Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, East China Normal University, Shanghai 200062, ChinaDepartment of Chemistry and Chemical Biology, Rutgers University, Piscataway, NJ 08854, USASchool of Chemistry and Molecular Engineering, Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, East China Normal University, Shanghai 200062, ChinaSchool of Chemistry and Molecular Engineering, Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, East China Normal University, Shanghai 200062, ChinaSchool of Chemistry and Molecular Engineering, Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, East China Normal University, Shanghai 200062, ChinaSchool of Chemistry and Molecular Engineering, Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, East China Normal University, Shanghai 200062, ChinaWe develop a fragment-based ab initio molecular dynamics (FB-AIMD) method for efficient dynamics simulation of the combustion process. In this method, the intermolecular interactions are treated by a fragment-based many-body expansion in which three- or higher body interactions are neglected, while two-body interactions are computed if the distance between the two fragments is smaller than a cutoff value. The accuracy of the method was verified by comparing FB-AIMD calculated energies and atomic forces of several different systems with those obtained by standard full system quantum calculations. The computational cost of the FB-AIMD method scales linearly with the size of the system, and the calculation is easily parallelizable. The method is applied to methane combustion as a benchmark. Detailed reaction network of methane reaction is analyzed, and important reaction species are tracked in real time. The current result of methane simulation is in excellent agreement with known experimental findings and with prior theoretical studies.https://www.mdpi.com/1420-3049/26/11/3120FB-AIMDmolecular dynamicsJacobi coordinatemethane combustionreaction mechanism |
| spellingShingle | Liqun Cao Jinzhe Zeng Mingyuan Xu Chih-Hao Chin Tong Zhu John Z. H. Zhang Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion Molecules FB-AIMD molecular dynamics Jacobi coordinate methane combustion reaction mechanism |
| title | Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion |
| title_full | Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion |
| title_fullStr | Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion |
| title_full_unstemmed | Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion |
| title_short | Fragment-Based Ab Initio Molecular Dynamics Simulation for Combustion |
| title_sort | fragment based ab initio molecular dynamics simulation for combustion |
| topic | FB-AIMD molecular dynamics Jacobi coordinate methane combustion reaction mechanism |
| url | https://www.mdpi.com/1420-3049/26/11/3120 |
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