Quantum Chemistry In The Age Of Machine Learning

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Quantum Chemistry in the Age of Machine Learning

Author : Pavlo O. Dral
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

Machine Learning Meets Quantum Physics

Author : Kristof T. Schütt
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.

Machine Learning in Chemistry

Author : Hugh M Cartwright
Publisher : Royal Society of Chemistry
ISBN 13 : 1839160241
Total Pages : 564 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Machine Learning in Chemistry by : Hugh M Cartwright

Download or read book Machine Learning in Chemistry written by Hugh M Cartwright and published by Royal Society of Chemistry. This book was released on 2020-07-15 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.

Chemical Physics and Quantum Chemistry

Author :
Publisher : Academic Press
ISBN 13 : 0128197587
Total Pages : 350 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Chemical Physics and Quantum Chemistry by :

Download or read book Chemical Physics and Quantum Chemistry written by and published by Academic Press. This book was released on 2020-09-18 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Quantum Chemistry presents surveys of current topics in this rapidly developing field one that has emerged at the cross section of the historically established areas of mathematics, physics, chemistry, and biology. It features detailed reviews written by leading international researchers. In this volume the readers are presented with an exciting combination of themes. Presents surveys of current topics in this rapidly-developing field that has emerged at the cross section of the historically established areas of mathematics, physics, chemistry and biology Features detailed reviews written by leading international researchers Topics include: New advances in Quantum Chemical Physics; Original theory and a contemporary overview of the field of Theoretical Chemical Physics; State-of-the-Art calculations in Theoretical Chemistry

From Schrödinger's Equation to Deep Learning: A Quantum Approach

Author : N.B. Singh
Publisher : N.B. Singh
ISBN 13 :
Total Pages : 306 pages
Book Rating : 4./5 ( download)

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Book Synopsis From Schrödinger's Equation to Deep Learning: A Quantum Approach by : N.B. Singh

Download or read book From Schrödinger's Equation to Deep Learning: A Quantum Approach written by N.B. Singh and published by N.B. Singh. This book was released on with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From Schrödinger's Equation to Deep Learning: A Quantum Approach" offers a captivating exploration that bridges the realms of quantum mechanics and deep learning. Tailored for scientists, researchers, and enthusiasts in both quantum physics and artificial intelligence, this book delves into the symbiotic relationship between quantum principles and cutting-edge deep learning techniques. Covering topics such as quantum-inspired algorithms, neural networks, and computational advancements, the book provides a comprehensive overview of how quantum approaches enrich and influence the field of deep learning. With clarity and depth, it serves as an enlightening resource for those intrigued by the dynamic synergy between quantum mechanics and the transformative potential of deep learning.

New Horizons in Computational Chemistry Software

Author : Michael Filatov
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.

Chemical Modelling Volume 17

Author : Dr Hilke Bahmann
Publisher : Royal Society of Chemistry
ISBN 13 : 1839167416
Total Pages : 217 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Chemical Modelling Volume 17 by : Dr Hilke Bahmann

Download or read book Chemical Modelling Volume 17 written by Dr Hilke Bahmann and published by Royal Society of Chemistry. This book was released on 2022-12-19 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemical modelling covers a wide range of disciplines, and this book is the first stop for any chemist, materials scientist, biochemist, or molecular physicist wishing to acquaint themselves with major developments in the applications and theory of chemical modelling. Containing both comprehensive and critical reviews, it is a convenient reference to the current literature. Coverage includes, but is not limited to, considerations towards rigorous foundations for the natural-orbital representation of molecular electronic transitions, quantum and classical embedding schemes for optical properties, machine learning for excited states, ultrafast and wave function-based electron dynamics, and attosecond chemistry.

Evolution and Applications of Quantum Computing

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119904862
Total Pages : 356 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Evolution and Applications of Quantum Computing by : Sachi Nandan Mohanty

Download or read book Evolution and Applications of Quantum Computing written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2023-06-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: EVOLUTION and APPLICATIONS of QUANTUM COMPUTING The book is about the Quantum Model replacing traditional computing’s classical model and gives a state-of-the-art technical overview of the current efforts to develop quantum computing and applications for Industry 4.0. A holistic approach to the revolutionary world of quantum computing is presented in this book, which reveals valuable insights into this rapidly emerging technology. The book reflects the dependence of quantum computing on the physical phenomenon of superposition, entanglement, teleportation, and interference to simplify difficult mathematical problems which would have otherwise taken years to derive a definite solution for. An amalgamation of the information provided in the multiple chapters will elucidate the revolutionary and riveting research being carried out in the brand-new domain encompassing quantum computation, quantum information and quantum mechanics. Each chapter gives a concise introduction to the topic. The book comprises 18 chapters and describes the pioneering work on the interaction between artificial intelligence, machine learning, and quantum computing along with their applications and potential role in the world of big data. Subjects include: Combinational circuits called the quantum multiplexer with secured quantum gate (CSWAP); Detecting malicious emails and URLs by using quantum text mining algorithms to distinguish between phishing and benign sites; Quantum data traffic analysis for intrusion detection systems; Applications of quantum computation in banking, netnomy and vehicular ad-hoc networks, virtual reality in the education of autistic children, identifying bacterial diseases and accelerating drug discovery; The critical domain of traditional classical cryptography and quantum cryptography. Audience The book will be very useful for researchers in computer science, artificial intelligence and quantum physics as well as students who want to understand the history of quantum computing along with its applications and have a technical state-of-the-art overview.

Supervised Learning with Quantum Computers

Author : Maria Schuld
Publisher : Springer
ISBN 13 : 3319964240
Total Pages : 293 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Supervised Learning with Quantum Computers by : Maria Schuld

Download or read book Supervised Learning with Quantum Computers written by Maria Schuld and published by Springer. This book was released on 2018-08-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.

Exploring Chemical Concepts Through Theory and Computation

Author : Shubin Liu
Publisher : John Wiley & Sons
ISBN 13 : 3527352481
Total Pages : 594 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Exploring Chemical Concepts Through Theory and Computation by : Shubin Liu

Download or read book Exploring Chemical Concepts Through Theory and Computation written by Shubin Liu and published by John Wiley & Sons. This book was released on 2024-10-21 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep, theoretical resource on the essence of chemistry, explaining the sixteen most important concepts including redox states and bond types Exploring Chemical Concepts Through Theory and Computation provides a comprehensive account of how the three widely used theoretical frameworks of valence bond theory, molecular orbital theory, and density functional theory, along with a variety of important chemical concepts, can between them describe and efficiently and reliably predict key chemical parameters and phenomena. By comparing the three main theoretical frameworks, readers will become competent in choosing the right modeling approach for their task. The authors go beyond a simple comparison of existing algorithms to show how data-driven theories can explain why chemical compounds behave the way they do, thus promoting a deeper understanding of the essence of chemistry. The text is contributed to by top theoretical and computational chemists who have turned computational chemistry into today's data-driven and application-oriented science. Exploring Chemical Concepts Through Theory and Computation discusses topics including: Orbital-based approaches, density-based approaches, chemical bonding, partial charges, atoms in molecules, oxidation states, aromaticity and antiaromaticity, and acidity and basicity Electronegativity, hardness, softness, HSAB, sigma-hole interactions, charge transport and energy transfer, and homogeneous and heterogeneous catalysis Electrophilicity, nucleophilicity, cooperativity, frustration, homochirality, and energy decomposition Chemical concepts in solids, excited states, spectroscopy and machine learning, and catalysis and machine learning, and as well as key connections between related concepts Aimed at both novice and experienced computational, theoretical, and physical chemists, Exploring Chemical Concepts Through Theory and Computation is an essential reference to gain a deeper, more advanced holistic understanding of the field of chemistry as a whole.

Molecular Representations for Machine Learning

Author : Grier M. Jones
Publisher : American Chemical Society
ISBN 13 : 0841299781
Total Pages : 177 pages
Book Rating : 4.8/5 (412 download)

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Book Synopsis Molecular Representations for Machine Learning by : Grier M. Jones

Download or read book Molecular Representations for Machine Learning written by Grier M. Jones and published by American Chemical Society. This book was released on 2023-05-19 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This primer helps the reader understand the basic categories of molecular representations and provides computational tools to generate molecular descriptors in each of these categories. After reading this primer, you will be able to use various methods to generate machine and/or human interpretable representations of molecular systems for inputs to machine learning models or for general chemical data science applications.

Quantum Machine Learning: An Applied Approach

Author : Santanu Ganguly
Publisher :
ISBN 13 : 9781484270998
Total Pages : 0 pages
Book Rating : 4.2/5 (79 download)

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Book Synopsis Quantum Machine Learning: An Applied Approach by : Santanu Ganguly

Download or read book Quantum Machine Learning: An Applied Approach written by Santanu Ganguly and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost. Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms. The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author's active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples. You will: Understand and explore quantum computing and quantum machine learning, and their application in science and industry Explore various data training models utilizing quantum machine learning algorithms and Python libraries Get hands-on and familiar with applied quantum computing, including freely available cloud-based access Be familiar with techniques for training and scaling quantum neural networks Gain insight into the application of practical code examples without needing to acquire excessive machine learning theory or take a quantum mechanics deep dive.

Computational Science and Its Applications – ICCSA 2021

Author : Osvaldo Gervasi
Publisher : Springer Nature
ISBN 13 : 3030870162
Total Pages : 714 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2021 by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2021 written by Osvaldo Gervasi and published by Springer Nature. This book was released on 2021-09-11 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these books were carefully reviewed and selected from 1588 submissions. Part X of the set includes the proceedings of the following workshops: International Workshop on Smart and Sustainable Island Communities (SSIC 2021); International Workshop on Science, Technologies and Policies to Innovate Spatial Planning (STP4P 2021); International Workshop on Sustainable Urban Energy Systems (SUREN-SYS 2021); International Workshop on Ports of the future - smartness and sustainability (SmartPorts 2021); International Workshop on Smart Tourism (SmartTourism 2021); International Workshop on Space Syntax for Cities in Theory and Practice (Syntax_City 2021); International Workshop on Theoretical and Computational Chemistryand its Applications (TCCMA 2021); International Workshop on Urban Form Studies (UForm 2021); International Workshop on Urban Space Accessibility and Safety (USAS2021); International Workshop on Virtual and Augmented Reality and Ap-plcations (VRA 2021); International Workshop on Advanced and Computational Methods for Earth Science applications (WACM4ES 2021).

Applications and Principles of Quantum Computing

Author : Khang, Alex
Publisher : IGI Global
ISBN 13 :
Total Pages : 510 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Applications and Principles of Quantum Computing by : Khang, Alex

Download or read book Applications and Principles of Quantum Computing written by Khang, Alex and published by IGI Global. This book was released on 2024-01-31 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.

Machine Learning in Chemistry

Author : Jon Paul Janet
Publisher : American Chemical Society
ISBN 13 : 0841299005
Total Pages : 189 pages
Book Rating : 4.8/5 (412 download)

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Book Synopsis Machine Learning in Chemistry by : Jon Paul Janet

Download or read book Machine Learning in Chemistry written by Jon Paul Janet and published by American Chemical Society. This book was released on 2020-05-28 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important

Python for Chemists

Author : Kiyoto Aramis Tanemura
Publisher : American Chemical Society
ISBN 13 : 0841299250
Total Pages : 263 pages
Book Rating : 4.8/5 (412 download)

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Book Synopsis Python for Chemists by : Kiyoto Aramis Tanemura

Download or read book Python for Chemists written by Kiyoto Aramis Tanemura and published by American Chemical Society. This book was released on 2022-08-24 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming in Python empowers chemists to apply their domain knowledge to scales unreachable by manual effort. Learning Python is easy, but contextualizing chemical problems in Python is not always obvious. Readers of this primer develop the skill to identify problems in their research for which code may automate operations and scale a large volume of data or calculation. In addition, the authors shorten the time from “learning” to “using” Python through meaningful problem sets in Chapter One.

Conceptual Density Functional Theory

Author : Shubin Liu
Publisher : John Wiley & Sons
ISBN 13 : 3527829938
Total Pages : 900 pages
Book Rating : 4.5/5 (278 download)

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Book Synopsis Conceptual Density Functional Theory by : Shubin Liu

Download or read book Conceptual Density Functional Theory written by Shubin Liu and published by John Wiley & Sons. This book was released on 2022-04-13 with total page 900 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conceptual Density Functional Theory A unique resource that combines experimental and theoretical qualitative computing methods for a new foundation of chemical reactivity This two-volume reference book shows how conceptual density functional theory can reconcile empirical observations within silico calculations using density functional theory, molecular orbital theory, and valence bond theory. The ability to predict properties like electronegativity, acidity/basicity, strong covalent and weak intermolecular interactions as well as chemical reactivity makes DFT directly applicable to almost all problems in applied chemistry, from synthetic chemistry to catalyst design and materials characterization. Edited by one of the most recognized experts in the field and contributed to by a panel of international experts, the work addresses topics such as: Qualitative methods that are capable of rationalizing chemical concepts derived from theory and computation Fundamental concepts like the computation of chemical bonding, weak interactions, and reactivity Computational approaches for chemical concepts in excited states, extended systems, and time-dependent processes Theoretical chemists and physicists, as well as those applying theoretical calculations to empirical problems, will be able to use this book to gain unique insight into how theory intersects with experimental data in the field of qualitative computation.