Literature DB >> 26606607

Finding Reaction Pathways of Type A + B → X: Toward Systematic Prediction of Reaction Mechanisms.

Satoshi Maeda1,2, Keiji Morokuma2,3.   

Abstract

In these five decades, many useful tools have been developed for exploring quantum chemical potential energy surfaces. The success in theoretical studies of chemical reaction mechanisms has been greatly supported by these tools. However, systematic prediction of reaction mechanisms starting only from given reactants and catalysts is still very difficult. Toward this goal, we describe the artificial force induced reaction (AFIR) method for automatically finding reaction paths of type A + B → X (+ Y). By imposing an artificial force to given reactants and catalysts, the method can find the reactive sites very efficiently. Further pressing by the artificial force provides approximate transition states and product structures, which can be easily reoptimized to the corresponding true ones. This procedure can be executed very efficiently just by minimizing a single function called the AFIR function. All important reaction paths can be found by repeating this cycle starting from many initial orientations. We also discuss perspectives of automated reaction path search methods toward the above goal.

Year:  2011        PMID: 26606607     DOI: 10.1021/ct200290m

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  11 in total

Review 1.  Reaction Space Projector (ReSPer) for Visualizing Dynamic Reaction Routes Based on Reduced-Dimension Space.

Authors:  Takuro Tsutsumi; Yuriko Ono; Tetsuya Taketsugu
Journal:  Top Curr Chem (Cham)       Date:  2022-03-10

2.  Mechanisms, Challenges, and Opportunities of Dual Ni/Photoredox-Catalyzed C(sp2)-C(sp3) Cross-Couplings.

Authors:  Mingbin Yuan; Osvaldo Gutierrez
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2021-09-21

3.  H2 activation by hydrogenase-inspired NiFe catalyst using frustrated Lewis pair: effect of buffer and halide ion in the heterolytic H-H bond cleavage.

Authors:  Miho Isegawa; Takahiro Matsumoto; Seiji Ogo
Journal:  RSC Adv       Date:  2021-08-23       Impact factor: 3.361

4.  Implementation and performance of the artificial force induced reaction method in the GRRM17 program.

Authors:  Satoshi Maeda; Yu Harabuchi; Makito Takagi; Kenichiro Saita; Kimichi Suzuki; Tomoya Ichino; Yosuke Sumiya; Kanami Sugiyama; Yuriko Ono
Journal:  J Comput Chem       Date:  2017-11-14       Impact factor: 3.376

5.  Efficient prediction of reaction paths through molecular graph and reaction network analysis.

Authors:  Yeonjoon Kim; Jin Woo Kim; Zeehyo Kim; Woo Youn Kim
Journal:  Chem Sci       Date:  2017-12-12       Impact factor: 9.825

Review 6.  A Trajectory-Based Method to Explore Reaction Mechanisms.

Authors:  Saulo A Vázquez; Xose L Otero; Emilio Martinez-Nunez
Journal:  Molecules       Date:  2018-11-30       Impact factor: 4.411

7.  Quantum chemical calculation studies toward microscopic understanding of retention mechanism of Cs radioisotopes and other alkali metals in lichens.

Authors:  Hiroya Suno; Masahiko Machida; Terumi Dohi; Yoshihito Ohmura
Journal:  Sci Rep       Date:  2021-04-15       Impact factor: 4.379

8.  Photochemical conversion of CO2 to CO by a Re complex: theoretical insights into the formation of CO and HCO3 - from an experimentally detected monoalkyl carbonate complex.

Authors:  Miho Isegawa; Akhilesh K Sharma
Journal:  RSC Adv       Date:  2021-11-24       Impact factor: 3.361

9.  Discovery of a synthesis method for a difluoroglycine derivative based on a path generated by quantum chemical calculations.

Authors:  Tsuyoshi Mita; Yu Harabuchi; Satoshi Maeda
Journal:  Chem Sci       Date:  2020-05-22       Impact factor: 9.825

10.  Palladium-catalyzed regioselective and stereo-invertive ring-opening borylation of 2-arylaziridines with bis(pinacolato)diboron: experimental and computational studies.

Authors:  Youhei Takeda; Akinobu Kuroda; W M C Sameera; Keiji Morokuma; Satoshi Minakata
Journal:  Chem Sci       Date:  2016-06-09       Impact factor: 9.825

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