Dept. of Chemical Engineering, YU
CAMP Lab
Climate Adaptive Materials & Processing Design
Designing future materials with AI and computational science. From battery and catalyst discovery to process optimization.
Research Methodology
Our Approach
First-Principles Calculation
DFT-based materials property prediction and reaction mechanism analysis
Machine Learning & AI
Materials discovery and property prediction using GNN and generative AI
Electrochemical Simulation
Electrode reaction, interface phenomena, and charge transfer mechanism modeling
Process Optimization
Materials process design using Bayesian optimization and digital twin
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