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Artificial intelligence for materials science

Contributor(s): Language: English Series: Springer series in materials science | / edited by Robert Hull ...[et al.] ; ; v.312Publication details: Springer 2021 SwitzerlandDescription: vii, 228pISBN:
  • 9783030683092
Subject(s): DDC 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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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur TEXT 620.110285 Ar78 cop.1 (Browse shelf(Opens below)) Copy 1 Checked out to Krishanu Biswas (E0527300) 08/05/2025 A186060
Text Books Text Books PK Kelkar Library, IIT Kanpur TEXT 620.110285 Ar78 cop.2 (Browse shelf(Opens below)) Copy 2 Available A186061
Text Books Text Books PK Kelkar Library, IIT Kanpur TEXT 620.110285 Ar78 cop.3 (Browse shelf(Opens below)) Copy 3 Available A186062
Text Books Text Books PK Kelkar Library, IIT Kanpur TEXT 620.110285 Ar78 cop.4 (Browse shelf(Opens below)) Copy 4 Available A186063
Text Books Text Books PK Kelkar Library, IIT Kanpur TEXT 620.110285 Ar78 cop.5 (Browse shelf(Opens below)) 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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