Litcius/Paper detail

An unsupervised machine learning approach to reduce nonlinear FE<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg" display="inline" id="d1e1110"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> multiscale calculations using macro clustering

Souhail Chaouch, Julien Yvonnet

2023Finite Elements in Analysis and Design20 citationsDOIOpen Access PDF

Topics & Concepts

Microscale chemistryCluster analysisNonlinear systemRepresentative elementary volumeMacroFinite element methodComputer scienceAlgorithmArtificial intelligenceApplied mathematicsMathematicsPhysicsStructural engineeringEngineeringProgramming languageQuantum mechanicsMathematics educationComposite Material MechanicsNonlocal and gradient elasticity in micro/nano structuresComposite Structure Analysis and Optimization
An unsupervised machine learning approach to reduce nonlinear FE<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si21.svg" display="inline" id="d1e1110"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> multiscale calculations using macro clustering | Litcius