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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-10 Pages: 212 Publisher: Science Press This book consists of 6 chapters. Chapter 1 is an introduction; Chapter 2 introduces machine learning algorithms and processes. describing commonly used machine learning algorithms and their usage; Chapter 3 covers machine learning-based multi-scale plasticity analysis. introducing machine learning-based molecular dynamics simulation. discrete dislocation dynamics simulation. crystal plasticity finite element si.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book's focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.
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Published by Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
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Add to basketPaperback. Condition: New. Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book's focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.
Seller: moluna, Greven, Germany
Condition: New. Provides a systematic summary of machine learning methods applied to solid deformation, fatigue and fracture analysisFills a clear gap in the literature by applying machine learning to deformation, fatigue, and fracture analysis in solid me.
Language: English
Published by Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book's focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.
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Published by Elsevier Science Ltd, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 350 pages. 9.00x6.00x9.02 inches. In Stock.
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Published by Elsevier - Health Sciences Division, US, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketPaperback. Condition: New. Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book's focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.
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Published by Elsevier - Health Sciences Division Jan 2026, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
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Taschenbuch. Condition: Neu. Neuware - Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The book's focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures.
Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
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Paperback. Condition: new. Paperback. Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Elsevier - Health Sciences Division, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
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Published by Elsevier Science Ltd, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 350 pages. 9.00x6.00x9.02 inches. In Stock. This item is printed on demand.
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Published by Elsevier - Health Sciences Division, Philadelphia, 2026
ISBN 10: 0443446156 ISBN 13: 9780443446153
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Machine Learning in the Analysis of Solid Deformation, Fatigue and Fracture fills a clear gap in literature by applying machine learning to deformation, fatigue, and fracture analysis in solid mechanics. The books focus on complex mechanisms and coupling phenomena, discussed with practical examples, makes it a valuable resource for advanced researchers. Practical examples and case studies enable readers to understand both the underlying engineering problems and the application of machine learning methods to enhance fatigue life prediction analysis for solid materials and structures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.