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About The Book
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<p>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. <i>Computational Technologies in Materials Science</i> 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</p><p>• Covers material testing and development using computational intelligence</p><p>• Highlights the technologies to integrate computational intelligence and materials science</p><p>• Details case studies and detailed applications</p><p>• Investigates challenges in developing and using computational intelligence in materials science</p><p>• Analyzes historic changes that are taking place in designing materials.</p><p>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.</p>