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New Horizons in Computational Chemistry Software

Overview of attention for book
Cover of 'New Horizons in Computational Chemistry Software'

Table of Contents

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    Book Overview
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    Chapter 1 Technological Advances in Remote Collaborations
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    Chapter 2 MLatom 2: An Integrative Platform for Atomistic Machine Learning
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    Chapter 3 Reaction Space Projector (ReSPer) for Visualizing Dynamic Reaction Routes Based on Reduced-Dimension Space
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    Chapter 4 NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes
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    Chapter 5 Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
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    Chapter 6 Coupled- and Independent-Trajectory Approaches Based on the Exact Factorization Using the PyUNIxMD Package
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    Chapter 7 The Static–Dynamic–Static Family of Methods for Strongly Correlated Electrons: Methodology and Benchmarking
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    Chapter 8 Ensemble Density Functional Theory of Neutral and Charged Excitations
Attention for Chapter 4: NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes
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Chapter title
NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes
Chapter number 4
Book title
New Horizons in Computational Chemistry Software
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-07658-9_4
Book ISBNs
978-3-03-107657-2, 978-3-03-107658-9
Authors

Dergachev, Vsevolod D., Rooein, Mitra, Dergachev, Ilya D., Lykhin, Aleksandr O., Mauban, Robert C., Varganov, Sergey A.

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