• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning in Computational Mechanics: An Introductory Course

Deep Learning in Computational Mechanics: An Introductory Course

Hardcover

Technology & EngineeringGeneral ComputersProbability & Statistics

ISBN10: 3031895282
ISBN13: 9783031895289
Publisher: Springer
Published: Nov 25 2025
Pages: 475
Weight: 2.12
Height: 1.15 Width: 6.42 Depth: 9.36
Language: English
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 convex neural networks, and more general machine learning techniques.

Also in

General Computers