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Accelerated Materials Discovery

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Accelerated Materials Discovery

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Author : Phil De Luna
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-02-21

Accelerated Materials Discovery written by Phil De Luna 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 2022-02-21 with Computers 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. 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).

Accelerated Materials Discovery

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Author : Phil De Luna
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-02-21

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.

Materials Informatics

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Author : Olexandr Isayev
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-04

Materials Informatics written by Olexandr Isayev 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 2019-12-04 with Technology & Engineering categories.

Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics -Covers all the known methodologies and applications of materials informatics -Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used today Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.

Interacting Electrons

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Author : Richard M. Martin
language : en
Publisher: Cambridge University Press
Release Date : 2016-06-30

Interacting Electrons written by Richard M. Martin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-30 with Computers categories.

This book sets out modern methods of computing properties of materials, including essential theoretical background, computational approaches, practical guidelines and instructive applications.

Computational Technologies In Materials Science

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Author : Shubham Tayal
language : en
Publisher: CRC Press
Release Date : 2021-10-06

Computational Technologies In Materials Science written by Shubham Tayal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-06 with Science categories.

Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare. Yet, it can take years to move a material to the market after its initial discovery. Computational techniques have accelerated the exploration and development of materials, offering the chance to move new materials to the market quickly. Computational Technologies in Materials Science addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It explores characterization and fabrication of materials, machine-learning-based models, and computational intelligence for the synthesis and identification of materials. This book • Covers material testing and development using computational intelligence • Highlights the technologies to integrate computational intelligence and materials science • 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 materials. This book encourages material researchers and academics to develop novel theories and sustainable computational techniques and explores the potential for computational intelligence to replace traditional materials research.

Machine Learning And Data Mining In Materials Science

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Author : Norbert Huber
language : en
Publisher: Frontiers Media SA
Release Date : 2020-04-22

Machine Learning And Data Mining In Materials Science written by Norbert Huber and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-22 with categories.

Materials Science And Engineering Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2017-01-11

Materials Science And Engineering Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-11 with Technology & Engineering categories.

The design and study of materials is a pivotal component to new discoveries in the various fields of science and technology. By better understanding the components and structures of materials, researchers can increase its applications across different industries. Materials Science and Engineering: Concepts, Methodologies, Tools, and Applications is a compendium of the latest academic material on investigations, technologies, and techniques pertaining to analyzing the synthesis and design of new materials. Through its broad and extensive coverage on a variety of crucial topics, such as nanomaterials, biomaterials, and relevant computational methods, this multi-volume work is an essential reference source for engineers, academics, researchers, students, professionals, and practitioners seeking innovative perspectives in the field of materials science and engineering.

Machine Learning Accelerated Materials Discovery For Perovskites

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Author : Jeffrey Reuben Kirman
language : en
Publisher:
Release Date : 2019

Machine Learning Accelerated Materials Discovery For Perovskites written by Jeffrey Reuben Kirman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Reaching the full potential of optoelectronic materials is often hindered by the years of necessary trial-and-error. Perovskites are an example of materials having exceptional optoelectronic properties, but require improvement with respect to stability and toxicity as they approach commercialization. Exploring new types of perovskites is key to achieving these goals. In this thesis I develop an accelerated materials discovery pipeline aimed at discovering new perovskite materials. This pipeline incorporates image recognition that detects crystals via convolutional neural networks with 95% accuracy and uses parameter exploration to predict an optimal material with experimental data. With this framework, I discovered a new type of perovskite single crystal, (3-PLA)2PbCl4, that employs a new ligand, 3-PLA, offering avenues to higher efficiency and more stable devices. This work develops a framework for discovering and optimizing materials in a wide chemical space and provides the groundwork for identifying new materials that lie beyond known chemical spaces.

Accelerating Materials Discovery With Machine Learning

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Author : Rhys Goodall
language : en
Publisher:
Release Date : 2021

Accelerating Materials Discovery With Machine Learning written by Rhys Goodall and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Accelerated Materials Discovery

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