Artificial Intelligence for Materials Science (Record no. 46168)

MARC details
000 -LEADER
fixed length control field 02013 a2200217 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030683092
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 620.110285 CHE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Cheng, Yuan
245 ## - TITLE STATEMENT
Title Artificial Intelligence for Materials Science
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer
Place of publication, distribution, etc Cham, Switzerland
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent 228
520 ## - SUMMARY, ETC.
Summary, etc Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Materials science--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Materials
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Materials science
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Tian
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, Gang
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.