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  • Deep Learning in Computational Mechanics

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    Series series Intelligent Technologies and Robotics (R0)
    This book provides a first course without requiring prerequisite knowledge. Fundamental concepts of machine learning are introduced before explaining neural networks. With this knowledge, prominent topics in deep learning for simulation are explored. These include surrogate modeling, physics-informed neural networks, generative artificial intelligence, Hamiltonian/Lagrangian neural networks, input ... Read more

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  • Deep Learning in Computational Mechanics

    An Introductory Course

    Series series Intelligent Technologies and Robotics (R0)
    This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning’s fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and engineering, setting the stage for the book’s main topics: physics-informed neural networks and the deep energy method.The ... Read more

    $76.99 CAD