Graduate Research Assistant
Raleigh, North Carolina, United States
Perovskite Ceramics:1. Developed an advanced model combining first principles and finite element calculations to simulate the grain boundary effects on defect chemistry in perovskites.2. Formulated the defect chemistry with above bandgap illumination under the framework of Shockley-Read-Hall generation-recombination theory.3. Quantified the temporal and spatial evolution of defects and the corresponding color change in perovskite ceramics during d.c. electrodegradation.High-Entropy Alloys:1. Assessed the magnetoelastic effects in transition metal-based high-entropy alloys via the couplings of magnetic fluctuations and lattice vibrations from the Debye model.2. Combined density functional theory, linear regression, and thermodynamic simulation to accelerate prediction of chemical ordering in high-entropy alloys.3. Developed a Gaussian process regression-based active learning model to accelerate first principles optimization, design, and discovery of advanced high-entropy alloys.4. Examined the architecture and activation functions of regular neural network for the inverse design of high-entropy alloys to navigate the alloy composition given a set of desired properties.5. Applied the developed models to actual high-entropy alloy systems, demonstrated the consistencies between the simulated results and experimental measurements, and provided insights into the compositional design.