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Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subseque

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 a

This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning fr

Zusammenfassung: Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advan

This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementar