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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer Nature Switzerland Ag, 2026
ISBN 10: 3032145406 ISBN 13: 9783032145406
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In den WarenkorbHardcover. Zustand: Brand New. 288 pages. 6.30x0.87x9.49 inches. In Stock.
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Buch. Zustand: Neu. Modern Computational Materials Science | Theory, Methods, and Applications | Zongrui Pei | Buch | The Materials Research Society Series | xv | Englisch | 2026 | Springer | EAN 9783032145406 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Switzerland Ag, 2026
ISBN 10: 3032145406 ISBN 13: 9783032145406
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 288 pages. 6.30x0.87x9.49 inches. In Stock.
Sprache: Englisch
Verlag: Springer, Palgrave Macmillan, 2026
ISBN 10: 3032145406 ISBN 13: 9783032145406
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book serves as a concise and modern guide on computational materials science that meticulously revitalizes classical concepts, theories, and models through a contemporary lens and equally importantly, integrates cutting-edge advancements into a cohesive framework. It explores the transformative impact of machine learning and quantum computing on materials science research, as well as the influential role of language models and high-performance computing. The author includes detailed descriptions of advanced simulation methods such as First-principles methods, Molecular dynamics, Monte-Carlo simulations, Multi-scale methods, and more. Readers are also provided with in-depth case studies on specific materials, including structural materials, quantum materials, functional materials, biomaterials and beyond.This book presents readers with a concise yet rich framework that introduces essential concepts, methods, and applications. It covers the fundamental principles of materials science, simulations, and modeling, while also addressing contemporary topics transforming the field and illuminating new research opportunities and perspectives. Designed to swiftly empower young researchers with essential knowledge and serve as a modern reference for seasoned professionals and educators, this book aims to prepare materials scientists for the future of this rapidly evolving field.
Sprache: Englisch
Verlag: Springer, Springer Apr 2026, 2026
ISBN 10: 3032145406 ISBN 13: 9783032145406
Anbieter: Books-by-Floh, Paderborn, Deutschland
Buch. Zustand: Neu. Neuware -This book serves as a concise and modern guide on computational materials science that meticulously revitalizes classical concepts, theories, and models through a contemporary lens and equally importantly, integrates cutting-edge advancements into a cohesive framework. It explores the transformative impact of machine learning and quantum computing on materials science research, as well as the influential role of language models and high-performance computing. The author includes detailed descriptions of advanced simulation methods such as First-principles methods, Molecular dynamics, Monte-Carlo simulations, Multi-scale methods, and more. Readers are also provided with in-depth case studies on specific materials, including structural materials, quantum materials, functional materials, biomaterials and beyond.This book presents readers with a concise yet rich framework that introduces essential concepts, methods, and applications. It covers the fundamental principles of materials science, simulations, and modeling, while also addressing contemporary topics transforming the field and illuminating new research opportunities and perspectives. Designed to swiftly empower young researchers with essential knowledge and serve as a modern reference for seasoned professionals and educators, this book aims to prepare materials scientists for the future of this rapidly evolving field. 292 pp. Englisch.