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Artificial intelligence for materials science

Contributor(s): Cheng, Yuan [ed.] | Wang, Tian [ed.] | Zhang, Gang [ed.].
Series: Springer series in materials science. / edited by Robert Hull ...[et al.] ; v.312.Publisher: Switzerland Springer 2021Description: vii, 228p.ISBN: 9783030683092.Subject(s): Materials science -- Data processing | Machine learning | Artificial intelligence | Artificial intelligence -- Engineering applicationsDDC classification: 620.110285 | Ar78 Summary: 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.
List(s) this item appears in: New Arrival Jan 09 to 15 Jan, 2023
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
Text Books Text Books PK Kelkar Library, IIT Kanpur
TEXT 620.110285 Ar78 cop.1 (Browse shelf) Copy 1 Available A186060
Text Books Text Books PK Kelkar Library, IIT Kanpur
TEXT 620.110285 Ar78 cop.2 (Browse shelf) Copy 2 Available A186061
Text Books Text Books PK Kelkar Library, IIT Kanpur
TEXT 620.110285 Ar78 cop.3 (Browse shelf) Copy 3 Available A186062
Text Books Text Books PK Kelkar Library, IIT Kanpur
TEXT 620.110285 Ar78 cop.4 (Browse shelf) Copy 4 Available A186063
Text Books Text Books PK Kelkar Library, IIT Kanpur
TEXT 620.110285 Ar78 cop.5 (Browse shelf) Copy 5 Available A186064
Total holds: 0

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.

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