Machine Learning in Chemistry - Data-Driven Algorithms, Learning Systems, and Predictions

This volume serves as a basis for future development in the field of artificial intelligence and its application to cheminformatics, physical chemistry, and computational chemistry.

About the author

Edward O. Pyzer Knapp is the lead for AI and Machine Learning for IBM Research in the United Kingdom.

Teodoro Laino is a principal research staff member in the Department of Cognitive Computing and Industry Solutionat IBM Research Laboratory in Zurich, Switzerland.

Summary

Artificial intelligence, and especially its application to chemistry, is an exciting and rapidly expanding area of research. This volume presents groundbreaking work in this field to facilitate researcher engagement and to serve as a solid base from which new researchers can break into this exciting and rapidly transforming field. This interdisciplinary volume will be a valuable tool for those working in cheminformatics, physical chemistry, and computational
chemistry.

Product details

• Authors: Edward O. (Lead for Ai and Machine Le Pyzer-Knapp
• Assisted by: Teodoro Laino (Editor), Teodoro (Principal Research Staff Member in the Department of Cognitive Computing and Industry Solution Laino (Editor), Edward O. Pyzer-Knapp (Editor), Edward O. (Lead for AI and Machine Learning Pyzer-Knapp (Editor)
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 30.11.2020
• EAN: 9780841235052
• ISBN: 978-0-8412-3505-2
• No. of pages: 140
• Series: ACS Symposium Series; ACS Symposium
• Subjects: Natural sciences, medicine, IT, technology > Chemistry > Physical chemistry; SCIENCE / Chemistry / General, chemistry