G-MAP123: A mechanistic-based data-driven approach for 3D nonlinear elastic modeling — Via both uniaxial and equibiaxial tension experimental data

A data-driven self-consistent clustering analysis for the progressive damage behavior of 3D braided composites

(2020) Chunwang He et al.   COMPOSITE STRUCTURES

Data-driven multiscale finite element method: From concurrence to separation

(2020) Rui Xu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Exploring elastoplastic constitutive law of microstructured materials through Artificial Neural Network (ANN) — a mechanistic-based data-driven approach

(2020) Hang Yang et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Learning Nonlinear Constitutive Laws Using Neural Network Models Based on Indirectly Measurable Data

(2020) Xin Liu et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Poroelastic model parameter identification using artificial neural networks: on the effects of heterogeneous porosity and solid matrix Poisson ratio

(2020) Hamidreza Dehghani et al.   COMPUTATIONAL MECHANICS

MAP123-EP: A mechanistic-based data-driven approach for numerical elastoplastic analysis

(2020) Shan Tang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A machine learning based plasticity model using proper orthogonal decomposition

(2020) Dengpeng Huang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A framework for Data-Driven Structural Analysis in general elasticity based on nonlinear optimization: The static case

(2020) Cristian Guillermo Gebhardt et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Neural network constitutive model for crystal structures

(2020) Sunyoung Im et al.   COMPUTATIONAL MECHANICS

Data-driven multiscale simulation of FRP based on material twins

(2020) Wei Huang et al.   COMPOSITE STRUCTURES

Anisotropic hyperelastic constitutive models for finite deformations combining material theory and data-driven approaches with application to cubic lattice metamaterials

(2020) Mauricio Fernández et al.   COMPUTATIONAL MECHANICS

MAP123-EPF: A mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain

(2020) Shan Tang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

High-Performance Solid Polymer Electrolytes Filled with Vertically Aligned 2D Materials

(2019) Wenjing Tang et al.   ADVANCED FUNCTIONAL MATERIALS

Structural-Genome-Driven computing for composite structures

(2019) Jie Yang et al.   COMPOSITE STRUCTURES

FEM-Cluster based reduction method for efficient numerical prediction of effective properties of heterogeneous material in nonlinear range

(2019) Gengdong Cheng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Derivation of heterogeneous material laws via data-driven principal component expansions

(2019) Hang Yang et al.   COMPUTATIONAL MECHANICS

A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation

(2019) Kun Wang et al.   COMPUTATIONAL MECHANICS

Highly Efficient and Environmentally Friendly Fabrication of Robust, Programmable, and Biocompatible Anisotropic, All‐Cellulose, Wrinkle‐Patterned Hydrogels for Cell Alignment

(2019) Jie Zou et al.   ADVANCED MATERIALS

A Finite Element Reduced Order Model based on Adaptive Mesh Refinement and Artificial Neural Networks

(2019) Joan Baiges et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible

(2019) Miguel A. Bessa et al.   ADVANCED MATERIALS

MAP123: A data-driven approach to use 1D data for 3D nonlinear elastic materials modeling

(2019) Shan Tang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Data-based derivation of material response

(2018) Adrien Leygue et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Simultaneously Enhancing the Thermal Stability, Mechanical Modulus, and Electrochemical Performance of Solid Polymer Electrolytes by Incorporating 2D Sheets

(2018) Wenjing Tang et al.   Advanced Energy Materials

Data-driven computing in dynamics

(2017) T. Kirchdoerfer et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Data-driven computational mechanics

(2016) T. Kirchdoerfer et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Self-consistent clustering analysis: An efficient multi-scale scheme for inelastic heterogeneous materials

(2016) Zeliang Liu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Data-driven model reduction for the Bayesian solution of inverse problems

(2014) Tiangang Cui et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Hyperelastic models for rubber-like materials: consistent tangent operators and suitability for Treloar’s data

(2012) Paul Steinmann et al.   ARCHIVE OF APPLIED MECHANICS

Stretchable Ferroelectric Nanoribbons with Wavy Configurations on Elastomeric Substrates

(2011) Xue Feng et al.   ACS Nano

Meshless methods: A review and computer implementation aspects

(2008) Vinh Phu Nguyen et al.   MATHEMATICS AND COMPUTERS IN SIMULATION