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Springer Smart Modelling for Engineering Systems - CMCM 2021 Proceedings

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Description

This volume collects peer-reviewed research papers presented at the International Conference on Computational Methods in Continuum Mechanics 2021, organised by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The proceedings explore state-of-the-art smart computational paradigms in continuum mechanics, with emphasis on artificial intelligence applications including neural networks and machine learning for engineering design optimisation. Spanning two volumes, the book addresses advanced computational methods and intelligent systems approaches to solving complex engineering challenges. Ideal for researchers, engineers, and academics working in computational mechanics, AI-driven design, and numerical modelling, this Springer publication provides cutting-edge insights into how machine learning enhances traditional continuum mechanics frameworks and improves performance outcomes in modern engineering applications.

Key Features

This Springer proceedings volume features peer-reviewed research from the 2021 International Conference on Computational Methods in Continuum Mechanics, presenting the latest developments in smart computational paradigms.

The book explores artificial intelligence paradigms including neural networks and machine learning applied to continuum mechanics and engineering design performance improvement.

Research contributions address state-of-the-art computational methods and intelligent systems developed by leading researchers from Moscow Institute of Physics and Technology and Russian Academy of Sciences.

Two-volume proceedings format enables comprehensive coverage of smart modelling techniques, AI applications, and computational innovations in modern engineering systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2021
Listed Since
24 October 2020

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