Do Kyung Lee
Papers
1
Total Citations
11
H-Index
1
About
Do Kyung Lee is a pioneering researcher at the forefront of materials informatics and autonomous experimentation, with a core focus on accelerating the discovery and optimization of metal halide perovskites (MHPs) for next-generation optoelectronics. His most impactful work, "AI‐Driven Robot Enables Synthesis‐Property Relation Prediction for Metal Halide Perovskites in Humid Atmosphere" (2025, 11 citations), exemplifies his major contribution: integrating artificial intelligence with Materials Acceleration Platforms (MAPs)—self-driving laboratories—to predict synthesis-property relationships under realistic, humid conditions. By replacing traditional trial-and-error methods with autonomous, AI-guided robotic systems, Lee has demonstrated a paradigm shift that promises order-of-magnitude faster materials discovery. His research bridges the gap between computational prediction and experimental validation, directly addressing stability challenges that have long hindered perovskite commercialization. Though early in his career, Lee’s work has already garnered significant attention for its practical impact on sustainable energy materials. His achievements highlight a visionary approach where robotics and machine learning converge to unlock new frontiers in materials science, making him a key figure to watch in the evolution of autonomous laboratories.
Research Focus
Key Achievements
Top Papers
- 1