Description

Book Synopsis

Topological indices-based vector representation of graphs.- Toxicity Prediction Using Convolutional Neural Networks: A Study of Deep Learning Approach.- AI and ML in Polymer Science: Enhancing Material Informatics through Predictive Modelling.- Transforming Carbon-Based Material: The Role of AI and ML Regression Techniques in Material Science.- Physics Informed Neural Networks: Fundamentals & Application to Phase Field Models.- Application of AI to help leverage Density Functional Theory computations in Materials Informatics.- XAI Approaches in Genetic Biomaterial Analysis.- AI-Driven Robotic Solutions in Material Engineering.- Implications of high-entropy energy materials in healthcare, environment and agriculture, along with the applications of artificial intelligence.- Advancements in Agricultural Materials: Machine Learning Models for Precision Fertilizer Prediction.

Artificial Intelligence for Materials Informatics

    Product form

    £170.99

    Includes FREE delivery

    RRP £179.99 – you save £9.00 (5%)

    Order before 4pm today for delivery by Sat 1 Aug 2026.

    A Hardback by S. Sachin Kumar

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Artificial Intelligence for Materials Informatics by S. Sachin Kumar

      Publisher: Springer
      Publication Date: Publication Date: 05/07/2025
      ISBN13: 9783031899829, 978-3031899829
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      Topological indices-based vector representation of graphs.- Toxicity Prediction Using Convolutional Neural Networks: A Study of Deep Learning Approach.- AI and ML in Polymer Science: Enhancing Material Informatics through Predictive Modelling.- Transforming Carbon-Based Material: The Role of AI and ML Regression Techniques in Material Science.- Physics Informed Neural Networks: Fundamentals & Application to Phase Field Models.- Application of AI to help leverage Density Functional Theory computations in Materials Informatics.- XAI Approaches in Genetic Biomaterial Analysis.- AI-Driven Robotic Solutions in Material Engineering.- Implications of high-entropy energy materials in healthcare, environment and agriculture, along with the applications of artificial intelligence.- Advancements in Agricultural Materials: Machine Learning Models for Precision Fertilizer Prediction.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account