Volume 25, Issue 1

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January 2018

Special issue: Machine learning in computational mechanics. Guest editors: E. Cueto, F. Chinesta

Issue Editors:

Francisco CHINESTA,
Elias Cueto

11 articles in this issue

Nonlinear Shape-Manifold Learning Approach: Concepts, Tools and Applications
Liang Meng
Piotr Breitkopf
Pierre Villon
S.I.: Machine learning in computational mechanics 08 September 2016 Pages: 1 - 21
Simulation-Based Classification; a Model-Order-Reduction Approach for Structural Health Monitoring
T. Taddei
J. D. Penn
A. T. Patera
S.I.: Machine learning in computational mechanics 05 August 2016 Pages: 23 - 45
A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity
Rubén Ibañez
Emmanuelle Abisset-Chavanne
Francisco Chinesta
S.I.: Machine learning in computational mechanics 24 October 2016 Pages: 47 - 57
A Manifold Learning Approach for Integrated Computational Materials Engineering
E. Lopez
D. Gonzalez
F. Chinesta
S.I.: Machine learning in computational mechanics 21 March 2016 Pages: 59 - 68
kPCA-Based Parametric Solutions Within the PGD Framework
D. González
J. V. Aguado
F. Chinesta
S.I.: Machine learning in computational mechanics 21 March 2016 Pages: 69 - 86
Reduced Modeling of Unknown Trajectories
Patrick Héas
Cédric Herzet
S.I.: Machine learning in computational mechanics 25 May 2017 Pages: 87 - 101
Observable Dictionary Learning for High-Dimensional Statistical Inference
Lionel Mathelin
Kévin Kasper
Hisham Abou-Kandil
S.I.: Machine learning in computational mechanics 11 April 2017 Pages: 103 - 120
Background Information of Deep Learning for Structural Engineering
Seunghye Lee
Jingwan Ha
Jaehong Lee
S.I.: Machine learning in computational mechanics 03 July 2017 Pages: 121 - 129
Reduced Basis’ Acquisition by a Learning Process for Rapid On-line Approximation of Solution to PDE’s: Laminar Flow Past a Backstep
Patrick Gallinari
Yvon Maday
Tommaso Taddei
S.I.: Machine learning in computational mechanics 05 August 2017 Pages: 131 - 141
Big Data in Experimental Mechanics and Model Order Reduction: Today’s Challenges and Tomorrow’s Opportunities
Jan Neggers
Olivier Allix
Stéphane Roux
S.I.: Machine learning in computational mechanics 28 July 2017 Pages: 143 - 164
WYPiWYG Damage Mechanics for Soft Materials: A Data-Driven Approach
Mar Miñano
Francisco J. Montáns
S.I.: Machine learning in computational mechanics 12 June 2017 Pages: 165 - 193

Volume 25, Issue 1

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