Ai In Material Science

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Artificial Intelligence for Materials Science

Author : Yuan Cheng
Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for Materials Science by : Yuan Cheng

Download or read book Artificial Intelligence for Materials Science written by Yuan Cheng and published by Springer Nature. This book was released on 2021-03-26 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence-Aided Materials Design

Author : Rajesh Jha
Publisher : CRC Press
ISBN 13 : 1000541339
Total Pages : 363 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence-Aided Materials Design by : Rajesh Jha

Download or read book Artificial Intelligence-Aided Materials Design written by Rajesh Jha and published by CRC Press. This book was released on 2022-03-15 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the MATLAB® and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers to develop predictive models through AI/ML algorithms by writing their own computer code or using resources where they do not have to write code Covers downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices Discusses the CALPHAD approach and ways to use data generated from it Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science Uses case studies to examine the importance of using unsupervised machine learning algorithms in determining patterns in datasets This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.

Artificial Intelligence Applications in Materials Science

Author : Ralph J. Harrison
Publisher :
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Artificial Intelligence Applications in Materials Science by : Ralph J. Harrison

Download or read book Artificial Intelligence Applications in Materials Science written by Ralph J. Harrison and published by . This book was released on 1987 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Materials Discovery and Design

Author : Turab Lookman
Publisher : Springer
ISBN 13 : 3319994654
Total Pages : 256 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Materials Discovery and Design by : Turab Lookman

Download or read book Materials Discovery and Design written by Turab Lookman and published by Springer. This book was released on 2018-09-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.

AI in Material Science

Author : Syed Saad
Publisher : CRC Press
ISBN 13 : 1040096565
Total Pages : 289 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI in Material Science by : Syed Saad

Download or read book AI in Material Science written by Syed Saad and published by CRC Press. This book was released on 2024-07-26 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the transformative impact of artificial intelligence on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science.

Machine Learning in 2D Materials Science

Author : Parvathi Chundi
Publisher : CRC Press
ISBN 13 : 1000987434
Total Pages : 249 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Learning in 2D Materials Science by : Parvathi Chundi

Download or read book Machine Learning in 2D Materials Science written by Parvathi Chundi and published by CRC Press. This book was released on 2023-11-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Materials Science

Author : Keith T. Butler
Publisher : American Chemical Society
ISBN 13 : 0841299463
Total Pages : 176 pages
Book Rating : 4.8/5 (412 download)

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Book Synopsis Machine Learning in Materials Science by : Keith T. Butler

Download or read book Machine Learning in Materials Science written by Keith T. Butler and published by American Chemical Society. This book was released on 2022-06-16 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Materials Science provides the fundamentals and useful insight into where Machine Learning (ML) will have the greatest impact for the materials science researcher. This digital primer provides example methods for ML applied to experiments and simulations, including the early stages of building an ML solution for a materials science problem, concentrating on where and how to get data and some of the considerations when choosing an approach. The authors demonstrate how to build more robust models, how to make sure that your colleagues trust the results, and how to use ML to accelerate or augment simulations, by introducing methods in which ML can be applied to analyze and process experimental data. They also cover how to build integrated closed-loop experiments where ML is used to plan the course of a materials optimization experiment and how ML can be utilized in the discovery of materials on computers.

Accelerated Materials Discovery

Author : Phil De Luna
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110733250
Total Pages : 235 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Accelerated Materials Discovery by : Phil De Luna

Download or read book Accelerated Materials Discovery written by Phil De Luna and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-02-21 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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).

Handbook of Materials Modeling

Author : Sidney Yip
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.

Computational Technologies in Materials Science

Author : Shubham Tayal
Publisher : CRC Press
ISBN 13 : 1000459748
Total Pages : 251 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Computational Technologies in Materials Science by : Shubham Tayal

Download or read book Computational Technologies in Materials Science written by Shubham Tayal and published by CRC Press. This book was released on 2021-10-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Covers material testing and development using computational intelligence • Highlights the technologies to integrate computational intelligence and materials sciences • Discusses how computational tools can generate new materials with advanced applications • Details case studies and detailed applications • Investigates challenges in developing and using computational intelligence in materials science • Analyzes historic changes that are taking place in designing of materials

AI in Materials Science and Solid-state Physics

Author : L. John Kennedy
Publisher : Wiley-Scrivener
ISBN 13 : 9781119864936
Total Pages : 400 pages
Book Rating : 4.8/5 (649 download)

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Book Synopsis AI in Materials Science and Solid-state Physics by : L. John Kennedy

Download or read book AI in Materials Science and Solid-state Physics written by L. John Kennedy and published by Wiley-Scrivener. This book was released on 2022-08-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Accelerated Materials Discovery

Author : Phil De Luna
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110738082
Total Pages : 215 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Accelerated Materials Discovery by : Phil De Luna

Download or read book Accelerated Materials Discovery written by Phil De Luna and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-02-21 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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).

Introduction to Materials Science

Author : Jean P Mercier
Publisher : Elsevier
ISBN 13 : 008095071X
Total Pages : 460 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Introduction to Materials Science by : Jean P Mercier

Download or read book Introduction to Materials Science written by Jean P Mercier and published by Elsevier. This book was released on 2012-12-02 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The approach of this concise but comprehensive introduction, covering all major classes of materials, is right for not just materials science students and professionals, but also for those in engineering, physics and chemistry, or other related disciplines. The characteristics of all main classes of materials, metals, polymers and ceramics, are explained with reference to real-world examples. So each class of material is described, then its properties are explained, with illustrative examples from the leading edge of application. This edition contains new material on nanomaterials and nanostructures, and includes a study of degradation and corrosion, and a presentation of the main organic composite materials. Illustrative examples include carbon fibres, the silicon crystal, metallic glasses, and diamond films. Applications explored include ultra-light aircraft, contact lenses, dental materials, single crystal blades for gas turbines, use of lasers in the automotive industry, cables for cable cars, permanent magnets and molecular electronic devices. Covers latest materials including nanomaterials and nanostructures Real-world case studies bring the theory to life and illustrate the latest in good design All major classes of materials are covered in this concise yet comprehensive volume

Nanoinformatics

Author : Isao Tanaka
Publisher : Springer
ISBN 13 : 9811076170
Total Pages : 298 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Nanoinformatics by : Isao Tanaka

Download or read book Nanoinformatics written by Isao Tanaka and published by Springer. This book was released on 2018-01-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book brings out the state of the art on how informatics-based tools are used and expected to be used in nanomaterials research. There has been great progress in the area in which “big-data” generated by experiments or computations are fully utilized to accelerate discovery of new materials, key factors, and design rules. Data-intensive approaches play indispensable roles in advanced materials characterization. "Materials informatics" is the central paradigm in the new trend. "Nanoinformatics" is its essential subset, which focuses on nanostructures of materials such as surfaces, interfaces, dopants, and point defects, playing a critical role in determining materials properties. There have been significant advances in experimental and computational techniques to characterize individual atoms in nanostructures and to gain quantitative information. The collaboration of researchers in materials science and information science is growing actively and is creating a new trend in materials science and engineering.

The Materials Science of Semiconductors

Author : Angus Rockett
Publisher : Springer Science & Business Media
ISBN 13 : 0387686509
Total Pages : 622 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis The Materials Science of Semiconductors by : Angus Rockett

Download or read book The Materials Science of Semiconductors written by Angus Rockett and published by Springer Science & Business Media. This book was released on 2007-11-20 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes semiconductors from a materials science perspective rather than from condensed matter physics or electrical engineering viewpoints. It includes discussion of current approaches to organic materials for electronic devices. It further describes the fundamental aspects of thin film nucleation and growth, and the most common physical and chemical vapor deposition techniques. Examples of the application of the concepts in each chapter to specific problems or situations are included, along with recommended readings and homework problems.

Human-Centered AI

Author : Ben Shneiderman
Publisher : Oxford University Press
ISBN 13 : 0192845292
Total Pages : 390 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Human-Centered AI by : Ben Shneiderman

Download or read book Human-Centered AI written by Ben Shneiderman and published by Oxford University Press. This book was released on 2022 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Materials Science and Intelligent Technologies Applications

Author : Khanittha Wongseedakaew
Publisher : Trans Tech Publications Ltd
ISBN 13 : 303826668X
Total Pages : 338 pages
Book Rating : 4.0/5 (382 download)

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Book Synopsis Materials Science and Intelligent Technologies Applications by : Khanittha Wongseedakaew

Download or read book Materials Science and Intelligent Technologies Applications written by Khanittha Wongseedakaew and published by Trans Tech Publications Ltd. This book was released on 2014-10-08 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collection of selected, peer reviewed papers from the 2014 3rd International Conference on Key Engineering Materials and Computer Science (KEMCS 2014), August 5-6, 2014, Singapore. The 57 papers are grouped as follows: Chapter 1: Materials Science and Materials Engineering, Chapter 2: Artificial Intelligence and Data Mining, Data, Image and Signal Processing, Intelligent Automation and Control, Chapter 3: Computer Science and Information Technologies, Chapter 4: Electrical and Magnetoelectric Applications, Chapter 5: Advanced Technologies in Social, Education, Economics, Statistics and Management Applications.