ISBN: 9798265138255 - ai in material science and discovery: unlocking the artificial intelligence potential through data-driven approaches (5 resultados)

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  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2025

    9798265138255

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    Condición: Nuevo

    EUR 28,36

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    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798265138255

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: Nuevo

    EUR 25,67

    Envío por EUR 2,67 
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    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798265138255

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Condición: Nuevo

    EUR 29,01

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    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. The rapid advancement of artificial intelligence (AI) and machine learning (ML) is transforming nearly every domain of science and engineering, and materials science is no exception. The intersection of AI with materials research marks a pivotal shift in how we discover, design, and understand new materials. Traditional trial-and-error approaches are being replaced or enhanced by data-driven methods capable of sifting through vast design spaces, identifying hidden patterns, and accelerating the development of next-generation materials. This book, AI in Material Science and Discovery, is a comprehensive guide designed to introduce students, researchers, and professionals to the tools, methods, and transformative potential of AI in the realm of material innovation. Spanning foundational concepts to cutting-edge applications, this book offers a structured journey through the role of AI in materials data curation, property prediction, microstructure analysis, and autonomous experimentation. Each chapter bridges material science principles with AI methodologies, supported by real-world case studies and examples. As the field rapidly evolves, the goal of this book is not only to inform but also to inspire readers to contribute to this exciting interdisciplinary frontier. Whether you're a material scientist exploring AI or an AI practitioner entering materials science, this book serves as a timely and essential resource. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Idioma: Inglés

    Editorial: Amazon Digital Services LLC - Kdp, 2025

    9798265138255

    • Tapa blanda
    • Impresión bajo demanda

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 25,71

    Envío por EUR 4,96 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798265138255

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 30,07

    Envío por EUR 44,12 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. Paperback. The rapid advancement of artificial intelligence (AI) and machine learning (ML) is transforming nearly every domain of science and engineering, and materials science is no exception. The intersection of AI with materials research marks a pivotal shift in how we discover, design, and understand new materials. Traditional trial-and-error approaches are being replaced or enhanced by data-driven methods capable of sifting through vast design spaces, identifying hidden patterns, and accelerating the development of next-generation materials. This book, AI in Material Science and Discovery, is a comprehensive guide designed to introduce students, researchers, and professionals to the tools, methods, and transformative potential of AI in the realm of material innovation. Spanning foundational concepts to cutting-edge applications, this book offers a structured journey through the role of AI in materials data curation, property prediction, microstructure analysis, and autonomous experimentation. Each chapter bridges material science principles with AI methodologies, supported by real-world case studies and examples. As the field rapidly evolves, the goal of this book is not only to inform but also to inspire readers to contribute to this exciting interdisciplinary frontier. Whether you're a material scientist exploring AI or an AI practitioner entering materials science, this book serves as a timely and essential resource. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…