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ISBN 10: 1634825411 ISBN 13: 9781634825412
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Language: English
Published by Nova Science Pub Inc, 2015
ISBN 10: 1634825411 ISBN 13: 9781634825412
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Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367640589 ISBN 13: 9780367640583
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Published by Nova Science Pub Inc, 2015
ISBN 10: 1634825411 ISBN 13: 9781634825412
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Taschenbuch. Condition: Neu. Computational Technologies in Materials Science | Shubham Tayal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9780367640583 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
Language: English
Published by CRC Press 2021-10-07, 2021
ISBN 10: 0367640570 ISBN 13: 9780367640576
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367640570 ISBN 13: 9780367640576
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367640570 ISBN 13: 9780367640576
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367640570 ISBN 13: 9780367640576
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Published by Nova Science Publishers, Inc (US), 2015
ISBN 10: 1634825411 ISBN 13: 9781634825412
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Taschenbuch. Condition: Neu. Computational and Experimental Approaches in Materials Science and Engineering | Proceedings of the International Conference of Experimental and Numerical Investigations and New Technologies, CNNTech 2019 | Nenad Mitrovic (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xviii | Englisch | 2019 | Springer | EAN 9783030308520 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer International Publishing, Springer International Publishing, 2019
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Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3030308529 ISBN 13: 9783030308520
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 252 pp. Englisch.
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367640589 ISBN 13: 9780367640583
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Shubham Tayal is Assistant Professor, Department of Electronics and Communication Engineering, SR University, Warangal, India. He has more than 6 years of academic/research experience of teaching at UG and PG level. He has received his B.Tech (ECE) f.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.