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

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Publisher : Springer Nature
ISBN 13 : 981997321X
Total Pages : 123 pages
Book Rating : 4.8/5 (199 download)

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

Download or read book Ab Initio Molecular Dynamics Analysis Based on Reduced-Dimensionality Reaction Route Map written by Takuro Tsutsumi and published by Springer Nature. This book was released on 2023-12-05 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Springer Nature
ISBN 13 : 3031076583
Total Pages : 316 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis New Horizons in Computational Chemistry Software by : Michael Filatov

Download or read book New Horizons in Computational Chemistry Software written by Michael Filatov and published by Springer Nature. This book was released on 2022-07-30 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Elsevier
ISBN 13 : 0323886043
Total Pages : 702 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Quantum Chemistry in the Age of Machine Learning by : Pavlo O. Dral

Download or read book Quantum Chemistry in the Age of Machine Learning written by Pavlo O. Dral and published by Elsevier. This book was released on 2022-09-16 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Cambridge University Press
ISBN 13 : 1139477196
Total Pages : 503 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Ab Initio Molecular Dynamics by : Dominik Marx

Download or read book Ab Initio Molecular Dynamics written by Dominik Marx and published by Cambridge University Press. This book was released on 2009-04-30 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning in Biomolecular Simulations

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Publisher : Frontiers Media SA
ISBN 13 : 2889631362
Total Pages : 129 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Machine Learning in Biomolecular Simulations by : Gennady Verkhivker

Download or read book Machine Learning in Biomolecular Simulations written by Gennady Verkhivker and published by Frontiers Media SA. This book was released on 2019-10-21 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Indian Journal of Chemistry

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Publisher :
ISBN 13 :
Total Pages : 784 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Indian Journal of Chemistry by :

Download or read book Indian Journal of Chemistry written by and published by . This book was released on 2000 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Quantum Mechanics

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Publisher : University Science Books
ISBN 13 : 9781891389993
Total Pages : 600 pages
Book Rating : 4.3/5 (899 download)

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Book Synopsis Introduction to Quantum Mechanics by : David J. Tannor

Download or read book Introduction to Quantum Mechanics written by David J. Tannor and published by University Science Books. This book was released on 2018-02-01 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Physics Briefs

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Publisher :
ISBN 13 :
Total Pages : 934 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Physics Briefs by :

Download or read book Physics Briefs written by and published by . This book was released on 1994 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cumulated Index Medicus

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Publisher :
ISBN 13 :
Total Pages : 1828 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Cumulated Index Medicus by :

Download or read book Cumulated Index Medicus written by and published by . This book was released on 1997 with total page 1828 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dissertation Abstracts International

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Publisher :
ISBN 13 :
Total Pages : 902 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Dissertation Abstracts International by :

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 902 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Molecular Modelling for Beginners

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Publisher : John Wiley & Sons
ISBN 13 : 1119964814
Total Pages : 369 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Molecular Modelling for Beginners by : Alan Hinchliffe

Download or read book Molecular Modelling for Beginners written by Alan Hinchliffe and published by John Wiley & Sons. This book was released on 2011-08-17 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise, basic introduction to modelling and computational chemistry which focuses on the essentials, including MM, MC, and MD, along with a chapter devoted to QSAR and Discovery Chemistry. Includes supporting website featuring background information, full colour illustrations, questions and answers tied into the text,Visual Basic packages and many realistic examples with solutions Takes a hands-on approach, using state of the art software packages G03/W and/or Hyperchem, Gaussian .gjf files and sample outputs. Revised with changes in emphasis and presentation to appeal to the modern student.

Scientific and Technical Aerospace Reports

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Publisher :
ISBN 13 :
Total Pages : 1282 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1982 with total page 1282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamental Concepts in Heterogeneous Catalysis

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Publisher : John Wiley & Sons
ISBN 13 : 1118888952
Total Pages : 228 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Fundamental Concepts in Heterogeneous Catalysis by : Jens K. Nørskov

Download or read book Fundamental Concepts in Heterogeneous Catalysis written by Jens K. Nørskov and published by John Wiley & Sons. This book was released on 2014-10-27 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on a graduate course and suitable as a primer for any newcomer to the field, this book is a detailed introduction to the experimental and computational methods that are used to study how solid surfaces act as catalysts. Features include: First comprehensive description of modern theory of heterogeneous catalysis Basis for understanding and designing experiments in the field Allows reader to understand catalyst design principles Introduction to important elements of energy transformation technology Test driven at Stanford University over several semesters

International Aerospace Abstracts

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Publisher :
ISBN 13 :
Total Pages : 934 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis International Aerospace Abstracts by :

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1999 with total page 934 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Materials Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 1402032862
Total Pages : 2903 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Materials Modeling by : Sidney Yip

Download or read book Handbook of Materials Modeling written by Sidney Yip and published by Springer Science & Business Media. This book was released on 2007-11-17 with total page 2903 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Numerical Simulation in Molecular Dynamics

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Publisher : Springer Science & Business Media
ISBN 13 : 3540680950
Total Pages : 472 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Numerical Simulation in Molecular Dynamics by : Michael Griebel

Download or read book Numerical Simulation in Molecular Dynamics written by Michael Griebel and published by Springer Science & Business Media. This book was released on 2007-08-16 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning Meets Quantum Physics

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Publisher : Springer Nature
ISBN 13 : 3030402452
Total Pages : 473 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning Meets Quantum Physics by : Kristof T. Schütt

Download or read book Machine Learning Meets Quantum Physics written by Kristof T. Schütt and published by Springer Nature. This book was released on 2020-06-03 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume. To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials. The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context.