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Artificial intelligence-aided materials design : AI-algorithms and case studies on alloys and metallurgical processesJha, Rajesh ; Jha, Bimal KumarThis 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.Type of material - book ; adult, seriousEdition - 1st ed.Publication and manufacture - Boca Raton (FL) ; London ; New York : CRC Press, Taylor & Francis, 2022Language - englishISBN - 978-0-367-76527-9; 978-0-367-76528-6; 978-1-003-16737-2COBISS.SI-ID - 144100611
Author
Jha, Rajesh |
Jha, Bimal Kumar
Topics
metallurgy |
alloys |
artificial intelligence |
industrial applications |
data processing |
metalurgija |
zlitine |
umetna inteligenca |
procesiranje podatkov
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Library/institution |
City | Acronym | For loan | Other holdings |
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Faculty of Mechanical Engineering, Ljubljana | Ljubljana | FSLJ |
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Year | Impact factor | Edition | Category | Classification | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Jha, Rajesh | ![]() |
Jha, Bimal Kumar | ![]() |
Source: Personal bibliographies
and: SICRIS
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