Empowering research in chemistry and materials science through intelligent algorithms

In this review, we explore the integration of intelligent algorithms in chemistry and materials science.We begin by delineating the core principles of Machine Learning, Deep Learning, and optimization algorithms, highlighting their bespoke adaptation to these scientific domains. The focus then shift...

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Bibliographic Details

Published in:	Artificial intelligence chemistry Vol. 2; no. 1; p. 100035
Main Authors:	Lin, Jinglong, Mo, Fanyang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2024 Elsevier
Subjects:	Deep Learning Intelligent Algorithms Machine Learning Intelligent Algorithms Machine Learning Deep Learning
ISSN:	2949-7477, 2949-7477
Online Access:	Get full text
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