Machine learning in molecular sciences / Chen Qu, Hanchao Liu, editors.
Qu, Chen, editor.; Liu, Hanchao, editor.
2023
Q325.5 .M33 2023
Available Online

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Title
Machine learning in molecular sciences / Chen Qu, Hanchao Liu, editors.
ISBN
9783031371967 (electronic bk.)
3031371968 (electronic bk.)
303137195X
9783031371950
DOI
https://doi.org/10.1007/978-3-031-37196-7
Published
Cham, Switzerland : Springer, 2023.
Language
English
Description
1 online resource (353 pages) : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-37196-7 doi
Call Number
Q325.5 .M33 2023
Dewey Decimal Classification
006.31
Summary
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Qu, Chen, editor.
Liu, Hanchao, editor.
Series
Challenges and advances in computational chemistry and physics ; 36.
Available in Other Form
MACHINE LEARNING IN MOLECULAR SCIENCES.
Linked Resources
Online Access
Record Appears in
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