Computational Technologies Materials Science (35 results)

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Paperback. Condition: New. 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.…

Condition: New. pages cm First edition Includes bibliographical references and index.

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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 460.

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Paperback. Condition: Brand New. 250 pages. 9.18x6.12x9.21 inches. In Stock.

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. …

Paperback. Condition: New. 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.…

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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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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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This proceedings book offers a collection of high-quality, peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2019) held in Zlatibor, Serbia, from 2 to 5 July 2019. Discussing various industrial, engineering and scientific applications of the engineering techniques, it provides researchers from academia and industry with a platform to present their original work and exchange ideas, experiences, information, techniques, applications and innovations in the fields of mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.…

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Paperback. Condition: Brand New. 520 pages. 9.25x6.10x1.22 inches. In Stock.

Hardcover. Condition: Brand New. 240 pages. 9.21x6.14x0.63 inches. In Stock.

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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.…

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

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.…

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.…