Smart materials engineering data driven (5 risultati)

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  • Condizione: Nuovo

    EUR 216,09

    EUR 14,57 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibili

    Hardcover. Condizione: Brand New. 300 pages. 9.26x6.11x9.49 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2026

    3032095395 / 9783032095398

    • Rilegato

    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

    Venditore con 4 stelle
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    Condizione: Nuovo

    EUR 283,89

    EUR 3,49 spedizione 
    Spedito in U.S.A.

    Quantità: 4 disponibili

    Condizione: New.

  • Lingua: Inglese

    Editore: Springer, 2026

    3032095395 / 9783032095398

    • Rilegato

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 297,68

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book bridges the gap between conventional materials science and emerging data-driven methodologies, highlighting the integration of AI, machine learning, and deep learning technologies to enhance the design, analysis, and optimization of smart materials. It provides a holistic perspective essential for researchers, engineers, and students exploring the intersection of materials engineering and AI technologies.The book examines the connection between recent advancements in materials science and multiscale machine learning, facilitating predictive and prescriptive modeling for assessing material behavior based on composition, structure, and processing. It includes comprehensive discussions on smart material design, optimization, complexity analysis, and advanced computational methods for synthesizing and characterizing materials. Challenges in multiscale modeling, such as biologically inspired material design and the influence of nanotechnology on current trends, are thoroughly explored.Emphasizing the critical role of multiscale machine learning and nanotechnology in creating sustainable smart materials, the book also addresses the ethical implications of this research. It discusses opportunities and challenges in biomaterials, particularly in healthcare and biomedical applications, and anticipates future trends in machine learning for sustainable materials design. The book provides insights into how predictive and prescriptive modeling through machine learning can accelerate the material discovery process, guiding researchers toward promising candidates for further exploration.Serving as a roadmap for researchers and scientists, this book offers valuable insights into innovative approaches that support the future of materials science.

  • Lingua: Inglese

    Editore: Springer, 2026

    3032095395 / 9783032095398

    • Rilegato
    • Print on Demand

    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: Nuovo

    EUR 298,72

    EUR 7,58 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 4 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Springer, 2026

    3032095395 / 9783032095398

    • Rilegato
    • Print on Demand

    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

    Venditore con 4 stelle
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    Condizione: Nuovo

    EUR 299,72

    EUR 9,95 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 4 disponibili

    Condizione: New. PRINT ON DEMAND.