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Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences. Read more XRay Not Enabled ISBN13 978-3031371967 Language English File size 34.8 MB Page Flip Enabled Publisher Springer Word Wise Not Enabled Print length 323 pages Accessibility Learn more Screen Reader Supported Publication date October 1, 2023 Enhanced typesetting Enabled