Area of research
Mechanics of Materials · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Artificial neural network, Artificial intelligence, Machine learning, Granular material, and Robustness (evolution).
Machine-Learning-Based Multiscale Methods for 3D Modelling of Granular Materials by Incorporating History-Dependent State Variables
Machine Learning Aided Modeling of Granular Materials: A Review
Multi-layer perceptron-based data-driven multiscale modelling of granular materials with a novel Frobenius norm-based internal variable
Shaking table tests on seismic performance of a five-story reinforced concrete frame structure with MoS2 sliding bearings and steel dampers
Data-driven strain–stress modelling of granular materials via temporal convolution neural network
Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data