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B01=Chen Qu
B01=Hanchao Liu
Category1=Non-Fiction
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Category=PNRP
Category=PS
Category=PSD
Category=UY
Category=UYQ
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COP=Switzerland
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Machine Learning in Molecular Sciences

English

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. See more
Current price €164.34
Original price €172.99
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Age Group_Uncategorizedautomatic-updateB01=Chen QuB01=Hanchao LiuCategory1=Non-FictionCategory=PNRCategory=PNRPCategory=PSCategory=PSDCategory=UYCategory=UYQCategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Activesoftlaunch

Will deliver when available. Publication date 24 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 03 Oct 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031371981

About

Chen Qu is currently a research associate of National Institute of Standards and Technology. His current research focuses on applying machine learning methods to predict important chemical properties such as gas chromatography retention indices and mass spectra. He received his Ph.D. at Emory University where he conducted research primarily on machine learning potential energy surfaces under the guidance of Prof. Joel Bowman.  Hanchao Liu is currently a machine learning engineer at Google. His work focuses on building large-scale machine learning infrastructures and platforms. Dr. Liu received his Ph.D. in computational chemistry at Emory University under the tutelage of Prof. Joel Bowman where he applied computational and machine learning methods to study the vibrational dynamics and spectra of various forms of water.

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