Machine Learning In 2d Materials Science
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Machine Learning In 2d Materials Science
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Author : Parvathi Chundi
language : en
Publisher: CRC Press
Release Date : 2023-11-13
Machine Learning In 2d Materials Science written by Parvathi Chundi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with Computers categories.
Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniques are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically. KEY FEATURES Provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects Offers introductory material in topics such as ML, data integration, and 2D materials Provides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materials Discusses customized ML methods for 2D materials data and applications and high-throughput data acquisition Describes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial products Gives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasets Aimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research.
Machine Learning In 2d Materials Science
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Author : Chundi Parvathi (editor)
language : en
Publisher:
Release Date : 1901
Machine Learning In 2d Materials Science written by Chundi Parvathi (editor) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1901 with categories.
Accelerated Materials Discovery
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Author : Phil De Luna
language : en
Publisher: de Gruyter
Release Date : 2022-03-07
Accelerated Materials Discovery written by Phil De Luna and has been published by de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-07 with categories.
Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world's biggest challenges. Highlights artificial intelligence and robotics to speed up the discovery of advanced materials in energy, consumer electronics, and beyond. Describes machine learning algorithms, self-driving labs, AI in catalysis and spectroscopy, and industrial use cases. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs).
Artificial Intelligence For Materials Science
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Author : Yuan Cheng
language : en
Publisher: Springer Nature
Release Date : 2021-03-26
Artificial Intelligence For Materials Science written by Yuan Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Technology & Engineering categories.
Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.
Synthesis Modelling And Characterization Of 2d Materials And Their Heterostructures
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Author : Eui-Hyeok Yang
language : en
Publisher: Elsevier
Release Date : 2020-06-19
Synthesis Modelling And Characterization Of 2d Materials And Their Heterostructures written by Eui-Hyeok Yang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-19 with Technology & Engineering categories.
Synthesis, Modelling and Characterization of 2D Materials and Their Heterostructures provides a detailed discussion on the multiscale computational approach surrounding atomic, molecular and atomic-informed continuum models. In addition to a detailed theoretical description, this book provides example problems, sample code/script, and a discussion on how theoretical analysis provides insight into optimal experimental design. Furthermore, the book addresses the growth mechanism of these 2D materials, the formation of defects, and different lattice mismatch and interlayer interactions. Sections cover direct band gap, Raman scattering, extraordinary strong light matter interaction, layer dependent photoluminescence, and other physical properties. - Explains multiscale computational techniques, from atomic to continuum scale, covering different time and length scales - Provides fundamental theoretical insights, example problems, sample code and exercise problems - Outlines major characterization and synthesis methods for different types of 2D materials
The 3rd Sustainable Materials Advances In Renewable Technologies Smart
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Author : Surendar Marya
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2025-05-19
The 3rd Sustainable Materials Advances In Renewable Technologies Smart written by Surendar Marya and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Technology & Engineering categories.
Selected peer-reviewed extended articles based on abstracts presented at the Sustainable Materials & Advances In Renewable Technologies (SMART 2024) Aggregated Book
Electron Density
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Author : Pratim Kumar Chattaraj
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-10
Electron Density written by Pratim Kumar Chattaraj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with Science categories.
Discover theoretical, methodological, and applied perspectives on electron density studies and density functional theory Electron density or the single particle density is a 3D function even for a many-electron system. Electron density contains all information regarding the ground state and also about some excited states of an atom or a molecule. All the properties can be written as functionals of electron density, and the energy attains its minimum value for the true density. It has been used as the basis for a quantum chemical computational method called Density Functional Theory, or DFT, which can be used to determine various properties of molecules. DFT brings out a drastic reduction in computational cost due to its reduced dimensionality. Thus, DFT is considered to be the workhorse for modern computational chemistry, physics as well as materials science. Electron Density: Concepts, Computation and DFT Applications offers an introduction to the foundations and applications of electron density studies and analysis. Beginning with an overview of major methodological and conceptual issues in electron density, it analyzes DFT and its major successful applications. The result is a state-of-the-art reference for a vital tool in a range of experimental sciences. Readers will also find: A balance of fundamentals and applications to facilitate use by both theoretical and computational scientists Detailed discussion of topics including the Levy-Perdew-Sahni equation, the Kohn Sham Inversion problem, and more Analysis of DFT applications including the determination of structural, magnetic, and electronic properties Electron Density: Concepts, Computation and DFT Applications is ideal for academic researchers in quantum, theoretical, and computational chemistry and physics.
2d Materials
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Author : Paolo Bondavalli
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-07-18
2d Materials written by Paolo Bondavalli and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Science categories.
The book explains, in an easy way, the diffi cult to grasp concepts behind 2D exotic material properties for physicists, materials scientists, and engineers. This is a new class of phenomena highlighted in 2D materials with strong implications on physics. Physics, also for complex phenomena, is explained in easy terms that are ideal for newcomers to the fi eld and advanced students alike. Theory and specifi c examples of materials and their intriguing properties are discussed focusing on the structure property relationships that govern materials science. Applications for each phenomenon are evoked and a roadmapping is performed.
Machine Learning In Chemistry
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Author : Hugh M. Cartwright
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-07-15
Machine Learning In Chemistry written by Hugh M. Cartwright and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Science categories.
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.
Advances In Imaging And Electron Physics
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Author :
language : en
Publisher: Academic Press
Release Date : 2025-04-26
Advances In Imaging And Electron Physics written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Technology & Engineering categories.
Advances in Imaging and Electron Physics, Volume 234 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this new release cover Unified formalism of light beam optics and light polarization, Relativistic Theory and Calculation of Electrostatic Focusing Systems, A Nonlinear Representation Theory of Equivariant Deep Learning Using Group Morphology, and Artificial Intelligence and Deep Learning in Electron Microscopy. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Imaging and Electron Physics series - Merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy