Theoretical and Computational Advances of Molecular Reaction Dynamics
Autor Jun Li, Hongwei Song, Yongle Lien Limba Engleză Paperback – aug 2025
Useful and timely tutorials for the practical implementations with tips and usable codes are included for research in this multidisciplinary field. The book also familiarizes readers with state-of-the-art research frontiers on theoretical and computational MRD, showing the new methods, theories, applications, and advances that have developed for the investigation of chemical kinetics, reaction dynamics, and molecular spectra—at the microscopic atomic or molecular level—in the era of machine learning and big data.
- Summarizes recent advances in computational molecular reaction dynamics, offering learning about the connection between molecular reaction dynamics and novel data-driven modeling
- Applies recent advances in classical and quantum dynamics methodologies to deal with polyatomic molecular reactions
- Offers practical sample programs to help readers understand and use molecular reaction dynamic modelling effectively and efficiently
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Specificații
ISBN-13: 9780443137990
ISBN-10: 0443137994
Pagini: 352
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443137994
Pagini: 352
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction
Section 1: Methodology
2. Potential energy surface
3. Quasi-Classical Trajectory
4. Quantum Dynamics
5. Ring Polymer Molecular Dynamics
6. Machine learning in molecular reaction dynamics
Section 2: Case studies for bimolecular nonreactive dynamics
7. Bimolecular nonreactive dynamics
Section 3: Case studies for prototypical reactions
8. Featured Bimolecular reactive dynamics
9. Photodetachment dynamics
Section 4: Case studies for Kinetics (RPMD, QCT, wave package, and others)
10. RPMD kinetics
Section 5: Conclusion, summary, and perspectives
11. Conclusion, summary, and perspectives
Section 1: Methodology
2. Potential energy surface
3. Quasi-Classical Trajectory
4. Quantum Dynamics
5. Ring Polymer Molecular Dynamics
6. Machine learning in molecular reaction dynamics
Section 2: Case studies for bimolecular nonreactive dynamics
7. Bimolecular nonreactive dynamics
Section 3: Case studies for prototypical reactions
8. Featured Bimolecular reactive dynamics
9. Photodetachment dynamics
Section 4: Case studies for Kinetics (RPMD, QCT, wave package, and others)
10. RPMD kinetics
Section 5: Conclusion, summary, and perspectives
11. Conclusion, summary, and perspectives