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Computational Technologies in Materials Science
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Computational Technologies in Materials Science

Book Details

Format Hardback or Cased Book
ISBN-10 0367640570
ISBN-13 9780367640576
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture US
Country of Publication GB
Publication Date Oct 7th, 2021
Print length 238 Pages
Weight 520 grams
Dimensions 16.10 x 24.10 x 2.10 cms
Ksh 22,500.00
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This book addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It brings together researchers, developers, practitioners, and users to explore new ideas, techniques, and tools, and to exchange their experiences.

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.


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