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Materials discovery and design (Record no. 566302)

000 -LEADER
fixed length control field 03148 a2200301 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230110172504.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230110b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319994642
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 620.11
Item number M418
245 ## - TITLE STATEMENT
Title Materials discovery and design
Remainder of title by means of data science and optimal learning
Statement of responsibility, etc edited by Turab Lookman ...[et al.]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Springer
Year of publication 2018
Place of publication Switzerland
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvi, 256p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer series in materials science
490 ## - SERIES STATEMENT
Series statement / edited by Robert Hull ; v.280
520 ## - SUMMARY, ETC.
Summary, etc This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Materials science -- Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Materials science
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lookman, Turab [ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Eidenbenz, Stephan [ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Alexander, Frank [ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Barnes, Cris [ed.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Copy number Cost, replacement price Koha item type
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2023-01-10 112 8330.28 620.11 M418 cop.4 A186068 Copy 4 14119.11 Text Books
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2023-01-10 112 8330.28 620.11 M418 cop.5 A186069 Copy 5 14119.11 Text Books
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2023-01-10 112 8330.28 620.11 M418 cop.3 A186067 Copy 3 14119.11 Text Books
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2023-01-10 112 8330.28 620.11 M418 cop.2 A186066 Copy 2 14119.11 Text Books
        TEXT PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2023-01-10 112 8330.28 620.11 M418 cop.1 A186065 Copy 1 14119.11 Text Books

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