Ab Initio Molecular Dynamics Analysis Based On Reduced Dimensionality Reaction Route Map

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

Author : Takuro Tsutsumi
Publisher : Springer Nature
Page : 123 pages
File Size : 44,5 Mb
Release : 2023-12-05
Category : Science
ISBN : 9789819973217

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Ab Initio Molecular Dynamics Analysis Based on Reduced-Dimensionality Reaction Route Map by Takuro Tsutsumi Pdf

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.

New Horizons in Computational Chemistry Software

Author : Michael Filatov,Cheol H. Choi,Massimo Olivucci
Publisher : Springer Nature
Page : 316 pages
File Size : 52,8 Mb
Release : 2022-07-30
Category : Science
ISBN : 9783031076589

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New Horizons in Computational Chemistry Software by Michael Filatov,Cheol H. Choi,Massimo Olivucci Pdf

This volume presents the current status of software development in the field of computational and theoretical chemistry and gives an overview of the emerging trends. The challenges of maintaining the legacy codes and their adaptation to the rapidly growing hardware capabilities and the new programming environments are surveyed in a series of topical reviews written by the core developers and maintainers of the popular quantum chemistry and molecular dynamics programs. Special emphasis is given to new computational methodologies and practical aspects of their implementation and application in the computational chemistry codes. Modularity of the computational chemistry software is an emerging concept that enables to bypass the development and maintenance bottleneck of the legacy software and to customize the software using the best available computational procedures implemented in the form of self-contained modules. Perspectives on modular design of the computer programs for modeling molecular electronic structure, non-adiabatic dynamics, kinetics, as well as for data visualization are presented by the researchers actively working in the field of software development and application. This volume is of interest to quantum and computational chemists as well as experimental chemists actively using and developing computational software for their research. Chapters "MLatom 2: An Integrative Platform for Atomistic Machine Learning” and “Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol" are available open access under a CC BY 4.0 License via link.springer.com.

Quantum Chemistry in the Age of Machine Learning

Author : Pavlo O. Dral
Publisher : Elsevier
Page : 702 pages
File Size : 42,8 Mb
Release : 2022-09-16
Category : Science
ISBN : 9780323886048

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Quantum Chemistry in the Age of Machine Learning by Pavlo O. Dral Pdf

Quantum chemistry is simulating atomistic systems according to the laws of quantum mechanics, and such simulations are essential for our understanding of the world and for technological progress. Machine learning revolutionizes quantum chemistry by increasing simulation speed and accuracy and obtaining new insights. However, for nonspecialists, learning about this vast field is a formidable challenge. Quantum Chemistry in the Age of Machine Learning covers this exciting field in detail, ranging from basic concepts to comprehensive methodological details to providing detailed codes and hands-on tutorials. Such an approach helps readers get a quick overview of existing techniques and provides an opportunity to learn the intricacies and inner workings of state-of-the-art methods. The book describes the underlying concepts of machine learning and quantum chemistry, machine learning potentials and learning of other quantum chemical properties, machine learning-improved quantum chemical methods, analysis of Big Data from simulations, and materials design with machine learning. Drawing on the expertise of a team of specialist contributors, this book serves as a valuable guide for both aspiring beginners and specialists in this exciting field. Compiles advances of machine learning in quantum chemistry across different areas into a single resource Provides insights into the underlying concepts of machine learning techniques that are relevant to quantum chemistry Describes, in detail, the current state-of-the-art machine learning-based methods in quantum chemistry

Ab Initio Molecular Dynamics

Author : Dominik Marx,Jürg Hutter
Publisher : Cambridge University Press
Page : 503 pages
File Size : 55,5 Mb
Release : 2009-04-30
Category : Science
ISBN : 9781139477192

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Ab Initio Molecular Dynamics by Dominik Marx,Jürg Hutter Pdf

Ab initio molecular dynamics revolutionized the field of realistic computer simulation of complex molecular systems and processes, including chemical reactions, by unifying molecular dynamics and electronic structure theory. This book provides the first coherent presentation of this rapidly growing field, covering a vast range of methods and their applications, from basic theory to advanced methods. This fascinating text for graduate students and researchers contains systematic derivations of various ab initio molecular dynamics techniques to enable readers to understand and assess the merits and drawbacks of commonly used methods. It also discusses the special features of the widely used Car–Parrinello approach, correcting various misconceptions currently found in research literature. The book contains pseudo-code and program layout for typical plane wave electronic structure codes, allowing newcomers to the field to understand commonly used program packages and enabling developers to improve and add new features in their code.

Indian Journal of Chemistry

Author : Anonim
Publisher : Unknown
Page : 784 pages
File Size : 43,9 Mb
Release : 2000
Category : Analytical chemistry
ISBN : UOM:39015047821981

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Indian Journal of Chemistry by Anonim Pdf

Machine Learning in Biomolecular Simulations

Author : Gennady Verkhivker,Vojtech Spiwok,Francesco L. Gervasio
Publisher : Frontiers Media SA
Page : 129 pages
File Size : 44,8 Mb
Release : 2019-10-21
Category : Electronic
ISBN : 9782889631360

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Machine Learning in Biomolecular Simulations by Gennady Verkhivker,Vojtech Spiwok,Francesco L. Gervasio Pdf

Machine learning methods such as neural networks, non-linear dimensionality reduction techniques, random forests and others meet in this research topic with biomolecular simulations. The authors of eight articles applied these methods to analyze simulation results, accelerate simulations or to make molecular mechanics force fields more accurate.

Physics Briefs

Author : Anonim
Publisher : Unknown
Page : 934 pages
File Size : 52,5 Mb
Release : 1994
Category : Physics
ISBN : UOM:39015027829848

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Physics Briefs by Anonim Pdf

Cumulated Index Medicus

Author : Anonim
Publisher : Unknown
Page : 1828 pages
File Size : 48,8 Mb
Release : 1997
Category : Medicine
ISBN : OSU:32436010520193

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Cumulated Index Medicus by Anonim Pdf

Dissertation Abstracts International

Author : Anonim
Publisher : Unknown
Page : 902 pages
File Size : 49,7 Mb
Release : 2008
Category : Dissertations, Academic
ISBN : STANFORD:36105131549631

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Dissertation Abstracts International by Anonim Pdf

Introduction to Quantum Mechanics

Author : David J. Tannor
Publisher : University Science Books
Page : 600 pages
File Size : 50,6 Mb
Release : 2018-02-01
Category : Science
ISBN : 1891389998

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Introduction to Quantum Mechanics by David J. Tannor Pdf

Introduction to Quantum Mechanics covers quantum mechanics from a time-dependent perspective in a unified way from beginning to end. Intended for upper-level undergraduate and graduate courses this text will change the way people think about and teach quantum mechanics in chemistry and physics departments.

Scientific and Technical Aerospace Reports

Author : Anonim
Publisher : Unknown
Page : 1282 pages
File Size : 45,5 Mb
Release : 1982
Category : Aeronautics
ISBN : UIUC:30112102359566

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Scientific and Technical Aerospace Reports by Anonim Pdf

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

International Aerospace Abstracts

Author : Anonim
Publisher : Unknown
Page : 934 pages
File Size : 53,9 Mb
Release : 1999
Category : Aeronautics
ISBN : STANFORD:36105021811380

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International Aerospace Abstracts by Anonim Pdf

Numerical Simulation in Molecular Dynamics

Author : Michael Griebel,Stephan Knapek,Gerhard Zumbusch
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 44,9 Mb
Release : 2007-08-16
Category : Science
ISBN : 9783540680956

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Numerical Simulation in Molecular Dynamics by Michael Griebel,Stephan Knapek,Gerhard Zumbusch Pdf

This book details the necessary numerical methods, the theoretical background and foundations and the techniques involved in creating computer particle models, including linked-cell method, SPME-method, tree codes, amd multipol technique. It illustrates modeling, discretization, algorithms and their parallel implementation with MPI on computer systems with distributed memory. The text offers step-by-step explanations of numerical simulation, providing illustrative code examples. With the description of the algorithms and the presentation of the results of various simulations from fields such as material science, nanotechnology, biochemistry and astrophysics, the reader of this book will learn how to write programs capable of running successful experiments for molecular dynamics.

Handbook of Materials Modeling

Author : Sidney Yip
Publisher : Springer Science & Business Media
Page : 2903 pages
File Size : 48,5 Mb
Release : 2007-11-17
Category : Science
ISBN : 9781402032868

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Handbook of Materials Modeling by Sidney Yip Pdf

The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From the standpoint of methodology, the development follows a multiscale approach with emphasis on electronic-structure, atomistic, and mesoscale methods, as well as mathematical analysis and rate processes. Basic models are treated across traditional disciplines, not only in the discussion of methods but also in chapters on crystal defects, microstructure, fluids, polymers and soft matter. Written by authors who are actively participating in the current development, this collection of 150 articles has the breadth and depth to be a major contributor toward defining the field of computational materials. In addition, there are 40 commentaries by highly respected researchers, presenting various views that should interest the future generations of the community. Subject Editors: Martin Bazant, MIT; Bruce Boghosian, Tufts University; Richard Catlow, Royal Institution; Long-Qing Chen, Pennsylvania State University; William Curtin, Brown University; Tomas Diaz de la Rubia, Lawrence Livermore National Laboratory; Nicolas Hadjiconstantinou, MIT; Mark F. Horstemeyer, Mississippi State University; Efthimios Kaxiras, Harvard University; L. Mahadevan, Harvard University; Dimitrios Maroudas, University of Massachusetts; Nicola Marzari, MIT; Horia Metiu, University of California Santa Barbara; Gregory C. Rutledge, MIT; David J. Srolovitz, Princeton University; Bernhardt L. Trout, MIT; Dieter Wolf, Argonne National Laboratory.