1
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Li G, Li Z, Gao L, Chen S, Wang G, Li S. Combined molecular dynamics and coordinate driving method for automatically searching complicated reaction pathways. Phys Chem Chem Phys 2023; 25:23696-23707. [PMID: 37610711 DOI: 10.1039/d3cp02443a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
The combined molecular dynamics and coordinate driving (MD/CD) method is updated and generalized in this work to broaden its applications in automatically searching reaction pathways for complicated reactions. In this updated version, MD simulations are performed with the GFN's family of methods to systematically sample conformers for almost any systems with atomic numbers Z ≤ 86. The improved CD procedure is greatly accelerated by applying a pre-screening stage at the semiempirical GFN2-xTB level. An automatic module based on the Marcus theory and its improved version (the Wolynes theory) is designed to include single electron transfer (SET) processes into reaction pathways. The capabilities of this method are demonstrated by exploring the most possible reaction pathways of three experimentally reported reactions: the organophosphine-catalyzed trans phosphinoboration, the Fe(II) complex-mediated C(sp2)-H borylation reaction, and the SET-triggered deaminative radical cross-coupling reaction. Comprehensive reaction networks are obtained for all three reactions with reasonable computational costs. Detailed mechanisms for these reactions can account for the reported experimental facts.
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Affiliation(s)
- Guoao Li
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
| | - Zhenxing Li
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
| | - Liuzhou Gao
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
| | - Shengda Chen
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
| | - Guoqiang Wang
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
| | - Shuhua Li
- Key Laboratory of Mesoscopic Chemistry of Ministry of Education, New Cornerstone Science Laboratory, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, People's Republic of China.
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2
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Liu Q, Tang K, Zhang L, Du J, Meng Q. Computer‐assisted synthetic planning considering reaction kinetics based on transition state automated generation method. AIChE J 2023. [DOI: 10.1002/aic.18092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Affiliation(s)
- Qilei Liu
- State Key Laboratory of Fine Chemical, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian 116024 China
| | - Kun Tang
- State Key Laboratory of Fine Chemical, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian 116024 China
| | - Lei Zhang
- State Key Laboratory of Fine Chemical, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian 116024 China
| | - Jian Du
- State Key Laboratory of Fine Chemical, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian 116024 China
| | - Qingwei Meng
- State Key Laboratory of Fine Chemical, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian 116024 China
- Ningbo Research Institute Dalian University of Technology Ningbo 315016 China
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3
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Nakao A, Harabuchi Y, Maeda S, Tsuda K. Exploring the Quantum Chemical Energy Landscape with GNN-Guided Artificial Force. J Chem Theory Comput 2023; 19:713-717. [PMID: 36689311 PMCID: PMC9933424 DOI: 10.1021/acs.jctc.2c01061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Artificial force has been proven useful to get over energy barriers and quickly search a large portion of the energy landscape. This work proposes a method based on graph neural networks to optimize the choice of transformation patterns to examine and accelerate energy landscape exploration. In open search from glutathione, the search efficiency was largely improved in comparison to random selection. We also applied transfer learning from glutathione to tuftsin, resulting in further efficiency gains.
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Affiliation(s)
- Atsuyuki Nakao
- Graduate
School of Frontier Sciences, The University
of Tokyo, Kashiwa277-8561, Japan
| | - Yu Harabuchi
- Institute
for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo001-0021, Japan,JST
ERATO Maeda Artificial Intelligence for Chemical Reaction Design and
Discovery Project, Sapporo060-0810, Japan,Department
of Chemistry, Faculty of Science, Hokkaido
University, Sapporo060-0810, Japan
| | - Satoshi Maeda
- Institute
for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo001-0021, Japan,JST
ERATO Maeda Artificial Intelligence for Chemical Reaction Design and
Discovery Project, Sapporo060-0810, Japan,Department
of Chemistry, Faculty of Science, Hokkaido
University, Sapporo060-0810, Japan
| | - Koji Tsuda
- Graduate
School of Frontier Sciences, The University
of Tokyo, Kashiwa277-8561, Japan,RIKEN
Center for Advanced Intelligence Project, Tokyo103-0027, Japan,Research
and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba305-0047, Japan,
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4
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Garay-Ruiz D, Álvarez-Moreno M, Bo C, Martínez-Núñez E. New Tools for Taming Complex Reaction Networks: The Unimolecular Decomposition of Indole Revisited. ACS PHYSICAL CHEMISTRY AU 2022; 2:225-236. [PMID: 36855573 PMCID: PMC9718323 DOI: 10.1021/acsphyschemau.1c00051] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The level of detail attained in the computational description of reaction mechanisms can be vastly improved through tools for automated chemical space exploration, particularly for systems of small to medium size. Under this approach, the unimolecular decomposition landscape for indole was explored through the automated reaction mechanism discovery program AutoMeKin. Nevertheless, the sheer complexity of the obtained mechanisms might be a hindrance regarding their chemical interpretation. In this spirit, the new Python library amk-tools has been designed to read and manipulate complex reaction networks, greatly simplifying their overall analysis. The package provides interactive dashboards featuring visualizations of the network, the three-dimensional (3D) molecular structures and vibrational normal modes of all chemical species, and the corresponding energy profiles for selected pathways. The combination of the joined mechanism generation and postprocessing workflow with the rich chemistry of indole decomposition enabled us to find new details of the reaction (obtained at the CCSD(T)/aug-cc-pVTZ//M06-2X/MG3S level of theory) that were not reported before: (i) 16 pathways leading to the formation of HCN and NH3 (via amino radical); (ii) a barrierless reaction between methylene radical and phenyl isocyanide, which might be an operative mechanism under the conditions of the interstellar medium; and (iii) reaction channels leading to both hydrogen cyanide and hydrogen isocyanide, of potential astrochemical interest as the computed HNC/HCN ratios greatly exceed the calculated equilibrium value at very low temperatures. The reported reaction networks can be very valuable to supplement databases of kinetic data, which is of remarkable interest for pyrolysis and astrochemical studies.
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Affiliation(s)
- Diego Garay-Ruiz
- Institute
of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science & Technology (BIST), Avinguda Països Catalans,
16, 43007 Tarragona, Spain,Departament
de Química Física i Inorgànica, Universitat Rovira i Virgili (URV), Marcel·lí Domingo s/n, 43007 Tarragona, Spain
| | - Moises Álvarez-Moreno
- Institute
of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science & Technology (BIST), Avinguda Països Catalans,
16, 43007 Tarragona, Spain
| | - Carles Bo
- Institute
of Chemical Research of Catalonia (ICIQ), Barcelona Institute of Science & Technology (BIST), Avinguda Països Catalans,
16, 43007 Tarragona, Spain,Departament
de Química Física i Inorgànica, Universitat Rovira i Virgili (URV), Marcel·lí Domingo s/n, 43007 Tarragona, Spain,
| | - Emilio Martínez-Núñez
- Departmento
de Química Física, Facultade de Química, Universidade de Santiago de Compostela, 15782 Santiago
de Compostela, Spain,
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5
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Martínez-Núñez E, Barnes GL, Glowacki DR, Kopec S, Peláez D, Rodríguez A, Rodríguez-Fernández R, Shannon RJ, Stewart JJP, Tahoces PG, Vazquez SA. AutoMeKin2021: An open-source program for automated reaction discovery. J Comput Chem 2021; 42:2036-2048. [PMID: 34387374 DOI: 10.1002/jcc.26734] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/16/2021] [Accepted: 07/27/2021] [Indexed: 01/10/2023]
Abstract
AutoMeKin2021 is an updated version of tsscds2018, a program for the automated discovery of reaction mechanisms (J. Comput. Chem. 2018, 39, 1922). This release features a number of new capabilities: rare-event molecular dynamics simulations to enhance reaction discovery, extension of the original search algorithm to study van der Waals complexes, use of chemical knowledge, a new search algorithm based on bond-order time series analysis, statistics of the chemical reaction networks, a web application to submit jobs, and other features. The source code, manual, installation instructions and the website link are available at: https://rxnkin.usc.es/index.php/AutoMeKin.
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Affiliation(s)
- Emilio Martínez-Núñez
- Department of Physical Chemistry, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - George L Barnes
- Department of Chemistry and Biochemistry, Siena College, Loudonville, New York, USA
| | - David R Glowacki
- Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK
| | - Sabine Kopec
- Institut de Sciences Moléculaires d'Orsay, UMR 8214, Université Paris-Sud - Université Paris-Saclay, Orsay, France
| | - Daniel Peláez
- Institut de Sciences Moléculaires d'Orsay, UMR 8214, Université Paris-Sud - Université Paris-Saclay, Orsay, France
| | - Aurelio Rodríguez
- Galicia Supercomputing Center (CESGA), Santiago de Compostela, Spain
| | | | - Robin J Shannon
- Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK
| | | | - Pablo G Tahoces
- Department of Electronics and Computer Science, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Saulo A Vazquez
- Department of Physical Chemistry, University of Santiago de Compostela, Santiago de Compostela, Spain
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6
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Maeda S, Harabuchi Y. Exploring paths of chemical transformations in molecular and periodic systems: An approach utilizing force. WIRES COMPUTATIONAL MOLECULAR SCIENCE 2021. [DOI: 10.1002/wcms.1538] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Satoshi Maeda
- Institute for Chemical Reaction Design and Discovery (WPI‐ICReDD), Hokkaido University Sapporo Hokkaido Japan
- Department of Chemistry, Faculty of Science Hokkaido University Sapporo Hokkaido Japan
- JST, ERATO Maeda Artificial Intelligence for Chemical Reaction Design and Discovery Project Sapporo Hokkaido Japan
- National Institute for Materials Science (NIMS) Research and Services Division of Materials Data and Integrated System (MaDIS) Tsukuba Ibaraki Japan
| | - Yu Harabuchi
- Institute for Chemical Reaction Design and Discovery (WPI‐ICReDD), Hokkaido University Sapporo Hokkaido Japan
- Department of Chemistry, Faculty of Science Hokkaido University Sapporo Hokkaido Japan
- JST, ERATO Maeda Artificial Intelligence for Chemical Reaction Design and Discovery Project Sapporo Hokkaido Japan
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7
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Jara‐Toro RA, Pino GA, Glowacki DR, Shannon RJ, Martínez‐Núñez E. Enhancing Automated Reaction Discovery with Boxed Molecular Dynamics in Energy Space. CHEMSYSTEMSCHEM 2019. [DOI: 10.1002/syst.201900024] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Rafael A. Jara‐Toro
- INIFIQC (CONICET-UNC) Dpto. De Fisicoquímica-Facultad de Ciencias Químicas-Centro Láser de Ciencias MolecularesUniversidad de Córdoba Ciudad Universitaria X50000HUA Córdoba Argentina
| | - Gustavo A. Pino
- INIFIQC (CONICET-UNC) Dpto. De Fisicoquímica-Facultad de Ciencias Químicas-Centro Láser de Ciencias MolecularesUniversidad de Córdoba Ciudad Universitaria X50000HUA Córdoba Argentina
| | - David R. Glowacki
- Centre for Computational Chemistry School of ChemistryUniversity of Bristol Cantock's Close Bristol BS8 1TS UK
| | - Robin J. Shannon
- Centre for Computational Chemistry School of ChemistryUniversity of Bristol Cantock's Close Bristol BS8 1TS UK
| | - Emilio Martínez‐Núñez
- Departmento de Química Física, Facultade de QuímicaUniversidade de Santiago de Compostela 15782 Santiago de Compostela Spain
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8
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A Trajectory-Based Method to Explore Reaction Mechanisms. Molecules 2018; 23:molecules23123156. [PMID: 30513663 PMCID: PMC6321347 DOI: 10.3390/molecules23123156] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Revised: 11/23/2018] [Accepted: 11/29/2018] [Indexed: 12/02/2022] Open
Abstract
The tsscds method, recently developed in our group, discovers chemical reaction mechanisms with minimal human intervention. It employs accelerated molecular dynamics, spectral graph theory, statistical rate theory and stochastic simulations to uncover chemical reaction paths and to solve the kinetics at the experimental conditions. In the present review, its application to solve mechanistic/kinetics problems in different research areas will be presented. Examples will be given of reactions involved in photodissociation dynamics, mass spectrometry, combustion chemistry and organometallic catalysis. Some planned improvements will also be described.
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9
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Yang M, Yang L, Wang G, Zhou Y, Xie D, Li S. Combined Molecular Dynamics and Coordinate Driving Method for Automatic Reaction Pathway Search of Reactions in Solution. J Chem Theory Comput 2018; 14:5787-5796. [DOI: 10.1021/acs.jctc.8b00799] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Manyi Yang
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Lijiang Yang
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, People’s Republic of China
| | - Guoqiang Wang
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Yanzi Zhou
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Daiqian Xie
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Shuhua Li
- School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
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10
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Rodríguez A, Rodríguez‐Fernández R, A. Vázquez S, L. Barnes G, J. P. Stewart J, Martínez‐Núñez E. tsscds2018: A code for automated discovery of chemical reaction mechanisms and solving the kinetics. J Comput Chem 2018; 39:1922-1930. [DOI: 10.1002/jcc.25370] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 05/03/2018] [Accepted: 05/11/2018] [Indexed: 01/13/2023]
Affiliation(s)
| | - Roberto Rodríguez‐Fernández
- Departamento de Química Física, Facultade de QuímicaCampus Vida, Universidade de Santiago de Compostela Santiago de Compostela 15782 Spain
| | - Saulo A. Vázquez
- Departamento de Química Física, Facultade de QuímicaCampus Vida, Universidade de Santiago de Compostela Santiago de Compostela 15782 Spain
| | - George L. Barnes
- Department of Chemistry and BiochemistrySiena College 515 Loudon Road, Loudonville New York
| | - James J. P. Stewart
- Stewart Computational Chemistry 15210 Paddington Circle, Colorado Springs Colorado 80921
| | - Emilio Martínez‐Núñez
- Departamento de Química Física, Facultade de QuímicaCampus Vida, Universidade de Santiago de Compostela Santiago de Compostela 15782 Spain
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11
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Maeda S, Harabuchi Y, Takagi M, Saita K, Suzuki K, Ichino T, Sumiya Y, Sugiyama K, Ono Y. Implementation and performance of the artificial force induced reaction method in the GRRM17 program. J Comput Chem 2017; 39:233-251. [PMID: 29135034 PMCID: PMC5765425 DOI: 10.1002/jcc.25106] [Citation(s) in RCA: 123] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 10/16/2017] [Accepted: 10/18/2017] [Indexed: 12/20/2022]
Abstract
This article reports implementation and performance of the artificial force induced reaction (AFIR) method in the upcoming 2017 version of GRRM program (GRRM17). The AFIR method, which is one of automated reaction path search methods, induces geometrical deformations in a system by pushing or pulling fragments defined in the system by an artificial force. In GRRM17, three different algorithms, that is, multicomponent algorithm (MC-AFIR), single-component algorithm (SC-AFIR), and double-sphere algorithm (DS-AFIR), are available, where the MC-AFIR was the only algorithm which has been available in the previous 2014 version. The MC-AFIR does automated sampling of reaction pathways between two or more reactant molecules. The SC-AFIR performs automated generation of global or semiglobal reaction path network. The DS-AFIR finds a single path between given two structures. Exploration of minimum energy structures within the hypersurface in which two different electronic states degenerate, and an interface with the quantum mechanics/molecular mechanics method, are also described. A code termed SAFIRE will also be available, as a visualization software for complicated reaction path networks. © 2017 The Authors. Journal of Computational Chemistry Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Satoshi Maeda
- Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan
| | - Yu Harabuchi
- Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan.,Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST), Saitama, 332-0012, Japan
| | - Makito Takagi
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, Sapporo, 060-8628, Japan
| | - Kenichiro Saita
- Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan
| | - Kimichi Suzuki
- Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan.,Fukui Institute for Fundamental Chemistry, Kyoto University, Kyoto, 606-8103, Japan
| | - Tomoya Ichino
- Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan
| | - Yosuke Sumiya
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, Sapporo, 060-8628, Japan
| | - Kanami Sugiyama
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, Sapporo, 060-8628, Japan
| | - Yuriko Ono
- Department of Chemistry, Faculty of Science, Hokkaido University, Sapporo, 060-0810, Japan
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12
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Yang M, Zou J, Wang G, Li S. Automatic Reaction Pathway Search via Combined Molecular Dynamics and Coordinate Driving Method. J Phys Chem A 2017; 121:1351-1361. [DOI: 10.1021/acs.jpca.6b12195] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Manyi Yang
- School of Chemistry and Chemical
Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of
Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Jingxiang Zou
- School of Chemistry and Chemical
Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of
Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Guoqiang Wang
- School of Chemistry and Chemical
Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of
Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
| | - Shuhua Li
- School of Chemistry and Chemical
Engineering, Key Laboratory of Mesoscopic Chemistry of Ministry of
Education, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, People’s Republic of China
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13
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Maeda S, Harabuchi Y, Takagi M, Taketsugu T, Morokuma K. Artificial Force Induced Reaction (AFIR) Method for Exploring Quantum Chemical Potential Energy Surfaces. CHEM REC 2016; 16:2232-2248. [DOI: 10.1002/tcr.201600043] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Indexed: 12/25/2022]
Affiliation(s)
- Satoshi Maeda
- Department of Chemistry, Faculty of Science; Hokkaido University; Sapporo 060-0810 Japan
| | - Yu Harabuchi
- Department of Chemistry, Faculty of Science; Hokkaido University; Sapporo 060-0810 Japan
| | - Makito Takagi
- Graduate School of Chemical Sciences and Engineering; Hokkaido University; Sapporo 060-8628 Japan
| | - Tetsuya Taketsugu
- Department of Chemistry, Faculty of Science; Hokkaido University; Sapporo 060-0810 Japan
| | - Keiji Morokuma
- Fukui Institute for Fundamental Chemistry, Kyoto University; Kyoto 606-8103 Japan
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14
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Maeda S, Taketsugu T, Morokuma K, Ohno K. Anharmonic Downward Distortion Following for Automated Exploration of Quantum Chemical Potential Energy Surfaces. BULLETIN OF THE CHEMICAL SOCIETY OF JAPAN 2014. [DOI: 10.1246/bcsj.20140189] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Satoshi Maeda
- Department of Chemistry, Faculty of Science, Hokkaido University
| | | | - Keiji Morokuma
- Fukui Institute for Fundamental Chemistry, Kyoto University
- Cherry L. Emerson Center for Scientific Computation and Department of Chemistry, Emory University
| | - Koichi Ohno
- Graduate School of Science, Tohoku University
- Institute for Quantum Chemical Exploration
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15
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Gao M, Lyalin A, Maeda S, Taketsugu T. Application of Automated Reaction Path Search Methods to a Systematic Search of Single-Bond Activation Pathways Catalyzed by Small Metal Clusters: A Case Study on H–H Activation by Gold. J Chem Theory Comput 2014; 10:1623-30. [DOI: 10.1021/ct500068b] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Min Gao
- Department
of Chemistry, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
| | - Andrey Lyalin
- Elements
Strategy Initiative for Catalysts and Batteries (ESICB), Kyoto University, Kyoto 615-8245, Japan
| | - Satoshi Maeda
- Department
of Chemistry, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
- Elements
Strategy Initiative for Catalysts and Batteries (ESICB), Kyoto University, Kyoto 615-8245, Japan
| | - Tetsuya Taketsugu
- Department
of Chemistry, Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan
- Elements
Strategy Initiative for Catalysts and Batteries (ESICB), Kyoto University, Kyoto 615-8245, Japan
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16
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Maeda S, Taketsugu T, Morokuma K. Exploring transition state structures for intramolecular pathways by the artificial force induced reaction method. J Comput Chem 2013; 35:166-73. [DOI: 10.1002/jcc.23481] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 10/03/2013] [Accepted: 10/10/2013] [Indexed: 11/10/2022]
Affiliation(s)
- Satoshi Maeda
- Department of Chemistry; Faculty of Science; Hokkaido University; Sapporo 060-0810 Japan
| | - Tetsuya Taketsugu
- Department of Chemistry; Faculty of Science; Hokkaido University; Sapporo 060-0810 Japan
| | - Keiji Morokuma
- Fukui Institute for Fundamental Chemistry; Kyoto University; Kyoto 606-8103 Japan
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17
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Maeda S, Ohno K, Morokuma K. Systematic exploration of the mechanism of chemical reactions: the global reaction route mapping (GRRM) strategy using the ADDF and AFIR methods. Phys Chem Chem Phys 2013; 15:3683-701. [DOI: 10.1039/c3cp44063j] [Citation(s) in RCA: 358] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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18
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Exploring Multiple Potential Energy Surfaces: Photochemistry of Small Carbonyl Compounds. ACTA ACUST UNITED AC 2012. [DOI: 10.1155/2012/268124] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In theoretical studies of chemical reactions involving multiple potential energy surfaces (PESs) such as photochemical reactions, seams of intersection among the PESs often complicate the analysis. In this paper, we review our recipe for exploring multiple PESs by using an automated reaction path search method which has previously been applied to single PESs. Although any such methods for single PESs can be employed in the recipe, the global reaction route mapping (GRRM) method was employed in this study. By combining GRRM with the proposed recipe, all critical regions, that is, transition states, conical intersections, intersection seams, and local minima, associated with multiple PESs, can be explored automatically. As illustrative examples, applications to photochemistry of formaldehyde and acetone are described. In these examples as well as in recent applications to other systems, the present approach led to discovery of many unexpected nonadiabatic pathways, by which some complicated experimental data have been explained very clearly.
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QUAPP WOLFGANG. REDUCED GRADIENT METHODS AND THEIR RELATION TO REACTION PATHS. JOURNAL OF THEORETICAL & COMPUTATIONAL CHEMISTRY 2011. [DOI: 10.1142/s0219633603000604] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The reaction path is an important concept in theoretical chemistry. We discuss different definitions, their merits as well as their drawbacks: IRC (steepest descent from saddle), reduced gradient following (RGF), gradient extremals, and some others. Many properties and problems are explained by two-dimensional figures. This paper is both a review and a pointer to future research. The branching points of RGF curves are valley-ridge inflection (VRI) points of the potential energy surface. These points may serve as indicators for bifurcations of the reaction path. The VRI points are calculated with the help of Branin's method. All the important features of the potential energy surface are independent of the coordinate system. Besides the theoretical definitions, we also discuss the numerical use of the methods.
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Affiliation(s)
- WOLFGANG QUAPP
- Mathematical Institute, University of Leipzig, Augustus-Platz, D-04109 Leipzig, Germany
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Maeda S, Morokuma K. Finding Reaction Pathways of Type A + B → X: Toward Systematic Prediction of Reaction Mechanisms. J Chem Theory Comput 2011; 7:2335-45. [DOI: 10.1021/ct200290m] [Citation(s) in RCA: 169] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Satoshi Maeda
- The Hakubi Center, Kyoto University, Kyoto 606-8302, Japan
- Fukui Institute for Fundamental Chemistry, Kyoto University, Kyoto 606-8103, Japan
| | - Keiji Morokuma
- Fukui Institute for Fundamental Chemistry, Kyoto University, Kyoto 606-8103, Japan
- Department of Chemistry and Cherry L. Emerson Center for Scientific Computation, Emory University, Atlanta, Georgia 30322, United States
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Schlegel HB. Exploring potential energy surfaces for chemical reactions: an overview of some practical methods. J Comput Chem 2003; 24:1514-27. [PMID: 12868114 DOI: 10.1002/jcc.10231] [Citation(s) in RCA: 280] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Potential energy surfaces form a central concept in the application of electronic structure methods to the study of molecular structures, properties, and reactivities. Recent advances in tools for exploring potential energy surfaces are surveyed. Methods for geometry optimization of equilibrium structures, searching for transition states, following reaction paths and ab initio molecular dynamics are discussed. For geometry optimization, topics include methods for large molecules, QM/MM calculations, and simultaneous optimization of the wave function and the geometry. Path optimization methods and dynamics based techniques for transition state searching and reaction path following are outlined. Developments in the calculation of ab initio classical trajectories in the Born-Oppenheimer and Car-Parrinello approaches are described.
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Affiliation(s)
- H Bernhard Schlegel
- Department of Chemistry, Wayne State University, Detroit, Michigan 48202, USA
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Černohorský M, Vaultier M, Koča J. Comparison of conformational behavior of the short alanine peptides and their boron analogues. ACTA ACUST UNITED AC 1999. [DOI: 10.1016/s0166-1280(99)00056-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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