Continuum Models and Discrete Systems | CMDS-14, Paris, France, June 26-30, 2023

François Willot (u. a.)

ISBN 10: 3031586670 / ISBN 13: 9783031586675

Published by Springer, 2025

About this Item

Continuum Models and Discrete Systems | CMDS-14, Paris, France, June 26-30, 2023 | François Willot (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | xi | Englisch | 2025 | Springer | EAN 9783031586675 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 134418414

Bibliographic Details

• Title: Continuum Models and Discrete Systems | CMDS-14, Paris, France, June 26-30, 2023
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 3031586670
• ISBN 13: 9783031586675
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 452 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The present book contains the proceedings of the 14th International Symposium on Continuum Models and Discrete Systems (CMDS14) held in Paris in June 2023. It contains 21 contributions that cover a broad range of topics in the wide field of mechanics and physics of heterogeneous media for  discrete and continuous systems, from image analysis to models of random structures and to homogenization. The sessions in the CMDS conference series cover, in particular, the modeling of complex heterogeneous systems and metamaterials, structures and composites with extreme properties, deformable solids with microstructures, generalized continua, fracture and defect dynamics, fatigue, design of structured and architectured materials, micro and nanostructures, thermodynamics, transport theory and multiphysics coupling and methods ranging from homogenization theories to optimal design and machine-learning frameworks. Papers in the present volume are organized according to the following six main topics: probabilistic models, homogenization, solid mechanics, architectured materials, optics and metamaterials, machine learning methods.