| 书目名称 | Machine Learning in Molecular Sciences |
| 编辑 | Chen Qu,Hanchao Liu |
| 视频video | |
| 概述 | Comprehensive survey of machine learning in molecular sciences.Perspectives on challenges and future of machine learning in chemistry.Features contributions from experts in the field |
| 丛书名称 | Challenges and Advances in Computational Chemistry and Physics |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2023 |
| 关键词 | Machine Learning; Molecular Sciences; Deep Learning; Artificial Intelligence; Graph Neural Networks; Voxe |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-37196-7 |
| isbn_softcover | 978-3-031-37198-1 |
| isbn_ebook | 978-3-031-37196-7Series ISSN 2542-4491 Series E-ISSN 2542-4483 |
| issn_series | 2542-4491 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:20:40
