NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes
Offered By: QCHEM LAB at KNU via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the Nonadiabatic Statistical Theory (NAST) package for predicting kinetics of spin-dependent processes in this 36-minute lecture by Sergey A. Yarganov from the QCHEM LAB at KNU. Delve into the comparison between statistical theory and molecular dynamics, examining their pros and cons. Investigate the AIMS dynamics approach versus statistical theory. Gain insights into the general structure of the NAST code and its applications, including intersystem crossing in tunneling regime and hydrogen-elimination desorption reaction of ethyl on Si(100). Examine multi-state reaction mechanisms and quantum tunneling concepts. Enhance your understanding of kinetics and dynamics in spin-dependent processes through this comprehensive overview of the NAST package and its theoretical foundations.
Syllabus
Intro
Kinetics and dynamics of spin-dependent processes
Statistical theory vs molecular dynamics
Pros and cons
AIMS dynamics vs statistical theory
Nonadiabatic statistical theory (NAST)
NAST code: General structure
ISC in tunneling regime 4000
Hydrogen-elimination desorption reaction of ethyl on Si(100)
Multi-state reaction mechanism
Summary
Quantum Tunneling
Taught by
QCHEM LAB at KNU
Related Courses
Mécanique quantiqueÉcole Polytechnique via Coursera Introduction to Quantum Mechanics
The University of British Columbia via edX Introductory Quantum Mechanics in Hindi
Indian Institute of Technology Kanpur via Swayam Quantum Transport
IISER TVM via Swayam Einstein’s Legacy: Modern Physics All around You
The Great Courses Plus