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Kategorie szczegółowe BISAC

Ab Initio Molecular Dynamics Analysis Based on Reduced-Dimensionality Reaction Route Map

ISBN-13: 9789819973200 / Angielski / Twarda / 2023

Takuro Tsutsumi
Ab Initio Molecular Dynamics Analysis Based on Reduced-Dimensionality Reaction Route Map Takuro Tsutsumi 9789819973200 Springer Nature Singapore - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Ab Initio Molecular Dynamics Analysis Based on Reduced-Dimensionality Reaction Route Map

ISBN-13: 9789819973200 / Angielski / Twarda / 2023

Takuro Tsutsumi
cena 805,10
(netto: 766,76 VAT:  5%)

Najniższa cena z 30 dni: 693,97
Termin realizacji zamówienia:
ok. 16-18 dni roboczych.

Darmowa dostawa!

This thesis proposes useful tools, on-the-fly trajectory mapping method and Reaction Space Projector (ReSPer), to analyze chemical reaction mechanisms by combining the reaction route map and the ab initio molecular dynamics. The key concept for the proposed tools is the Cartesian distance between pairwise molecular structures, and a practical procedure to get the optimal distance is introduced. The on-the-fly trajectory mapping method tracks the distance function between reference structures and molecular structures along the trajectory. Although this method provides fruitful insight into dynamic reaction behaviors, the visualization of reaction routes into a low-dimensional space is still challenging because of the multi-dimensionality. ReSPer successfully constructs a low-dimensional reaction space defined by mathematically-selected principal coordinates representing mutual distance relationships in the full-dimensional space. ReSPer also enables us to project trajectories into the reaction space in the reduced dimension. In this thesis, these methods are applied to several reactions, including bifurcating and photochemical reactions, revealing dynamically-allowed reaction mechanisms. This thesis provides robust and versatile tools to elucidate dynamical reaction routes on the basis of the reduced-dimensionality reaction route map and will help control chemical reaction dynamics and select descriptors for machine learning. 


Kategorie:
Nauka, Chemia
Wydawca:
Springer Nature Singapore
Seria wydawnicza:
Springer Theses
Język:
Angielski
ISBN-13:
9789819973200
Rok wydania:
2023
Waga:
0.37 kg
Wymiary:
23.5 x 15.5
Oprawa:
Twarda
Dodatkowe informacje:
Wydanie ilustrowane

General Introduction.- Analysis of On-the-fly Trajectory based on Reaction Route Network.- 3. Visualization of Unique Reaction Route Map by Dimensionality Reduction Method.- 4. Projection of Dynamical Reaction Route onto Reduced-dimensionality Reaction Space.- 5. Theoretical Study of Excited-state Branching Reaction Mechanisms of α-methyl-cis-stilbene.- 6. Visualization of Multi-state Potential Energy Landscape: A Case Study on Excited-state Branching Reaction of Stilbene.- 7. General Conclusion. 


Dr. Takuro Tsutsumi received his Ph.D. in Science from Hokkaido University in 2021. He is now a postdoctoral researcher Faculty of Science, Hokkaido University. His research interest is in the development of chemical reaction analysis methods that utilize reaction path and reaction dynamics analyses, especially using dimensionality reduction techniques. He is also working on ab initio molecular dynamics in the excited state, publishing papers in collaboration with spectroscopy researchers. He was supported by the Japan Society for the Promotion of Science (JSPS) as a Research Fellowship for Young Scientists (DC1) and the Hokkaido University “Ambitious Leader’s Program.” 


This thesis proposes useful tools, on-the-fly trajectory mapping method and Reaction Space Projector (ReSPer), to analyze chemical reaction mechanisms by combining the reaction route map and the ab initio molecular dynamics. The key concept for the proposed tools is the Cartesian distance between pairwise molecular structures, and a practical procedure to get the optimal distance is introduced. The on-the-fly trajectory mapping method tracks the distance function between reference structures and molecular structures along the trajectory. Although this method provides fruitful insight into dynamic reaction behaviors, the visualization of reaction routes into a low-dimensional space is still challenging because of the multi-dimensionality. ReSPer successfully constructs a low-dimensional reaction space defined by mathematically-selected principal coordinates representing mutual distance relationships in the full-dimensional space. ReSPer also enables us to project trajectories into the reaction space in the reduced dimension. In this thesis, these methods are applied to several reactions, including bifurcating and photochemical reactions, revealing dynamically-allowed reaction mechanisms. This thesis provides robust and versatile tools to elucidate dynamical reaction routes on the basis of the reduced-dimensionality reaction route map and will help control chemical reaction dynamics and select descriptors for machine learning. 




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