Charles Yang

Data-driven approach for the prediction of mechanical properties of carbon fiber reinforced composites

Deep learning framework for material design space exploration using active transfer learning and data augmentation

Detecting Backdoored Neural Networks with Structured Adversarial Attacks

Vibrational detection of delamination in composites using a combined finite element analysis and machine learning approach

Designing an adhesive pillar shape with deep learning-based optimization

Prediction of composite microstructure stress-strain curves using convolutional neural networks

Interpretable inverse design of particle spectral emissivity using machine learning

Accelerating Auxetic Metamaterial Design with Deep Learning