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Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites

Keke Tang, Yujie Xiang, Jie Tian, Jixin Hou, Xianyan Chen, Xianqiao Wang, Zheng Zhong

2023International Journal of Mechanical Sciences40 citationsDOI

Topics & Concepts

PreprocessorDeformation (meteorology)Finite element methodArtificial intelligenceStress (linguistics)Field (mathematics)Transformation (genetics)Computer scienceDisplacement (psychology)Data pre-processingMachine learningStructural engineeringEngineeringMaterials scienceComposite materialMathematicsLinguisticsPhilosophyGeneChemistryPsychologyPsychotherapistBiochemistryPure mathematicsPolymer composites and self-healingAdvanced Materials and MechanicsAdvanced Sensor and Energy Harvesting Materials
Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites | Litcius