Material Geometry Design Using Machine Learning and Optimization
Use VGG to predict mechanical properties from their images, and use Bayesian model to optimize the GAN that can generate material images.
Portfolio
Algorithm of Generating Auxetic Networks.
Use pruning strategy to generate auxetic material from the grometry of packed moleculars. This project was implemented on the Google Could Service(GCP) with 96-core CPUs. The auxetic samples were ment to be one of the types in my machine learning dataset. This idea is based on Auxetic metamaterials from disordered networks.
Simulations of Qauntum Random Walk
Use computer program to simulate one dimensional quantum walks with various evolution strategies. The results ate meant to be the references to physical experiments.
Hybrid Qauntum Machine Learning.
We implemented a 4 qubit hybrid quantum neural networks trained on solving the Flock energy of Li-H molecular compond.