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Artificial intelligence-aided materials design :AI-algorithms and case studies on alloys and metallurgical processes /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial intelligence-aided materials design :Rajesh Jha and Bimal Kumar Jha.
Reminder of title:	AI-algorithms and case studies on alloys and metallurgical processes /
Author:	Jha, Rajesh,
other author:	Jha, B. K.
Published:	Boca Raton, FL :CRC Press,2022.
Description:	xxviii, 333 p. :ill. ;24 cm.
Subject:	MetallurgyData processing.
ISBN:	9780367765279 (hbk.) :

Artificial intelligence-aided materials design :AI-algorithms and case studies on alloys and metallurgical processes /
Jha, Rajesh,

Artificial intelligence-aided materials design :AI-algorithms and case studies on alloys and metallurgical processes /Rajesh Jha and Bimal Kumar Jha. - 1st ed. - Boca Raton, FL :CRC Press,2022. - xxviii, 333 p. :ill. ;24 cm.

Includes bibliographical references and index.

"This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials. Readers new to AI/ML algorithms can use the book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials"--

ISBN: 9780367765279 (hbk.) :NT$3515

LCCN: 2021047601Subjects--Topical Terms:

942848
Metallurgy
--Data processing.

LC Class. No.: TA483 / .J48 2022

Dewey Class. No.: 620.1/6

Artificial intelligence-aided materials design :AI-algorithms and case studies on alloys and metallurgical processes /
LDR:01666cam a2200301 a 4500 001 636382
003 OCoLC
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008 230810s2022 flu b 001 0 eng
010 $a 2021047601
020 $a 9780367765279 (hbk.) : $c NT$3515
020 $a 0367765276 (hbk.)
020 $a 9780367765286 (pbk.)
020 $a 0367765284 (pbk.)
020 $z 9781003167372 (ebook)
020 $z 9781000541380 (ePub ebook)
020 $z 9781000541335 (PDF ebook)
035 $a (OCoLC)1266221992
035 $a on1266221992
040 $a DLC $b eng $c DLC $d OCLCF $d BDX $d OCLCO $d UKMGB $d OCLCO
042 $a pcc
050 0 0 $a TA483 $b .J48 2022
082 0 0 $a 620.1/6 $2 23/eng/20211117
100 1 $a Jha, Rajesh, $e author. $3 942846
245 1 0 $a Artificial intelligence-aided materials design : $b AI-algorithms and case studies on alloys and metallurgical processes / $c Rajesh Jha and Bimal Kumar Jha.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2022.
300 $a xxviii, 333 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 $a "This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials. Readers new to AI/ML algorithms can use the book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials"-- $c Provided by publisher.
650 0 $a Metallurgy $x Data processing. $3 942848
650 0 $a Alloys $x Data processing. $3 942849
650 0 $a Artificial intelligence $x Industrial applications. $3 524554
700 1 $a Jha, B. K. $q (Bimal K.), $e author. $3 942847