The Light Taiwan research group focuses on the integrated development of material design and infrared sensor systems through a combination of simulation tools and experimental techniques. For material design, we employ density functional theory (DFT) combined with machine learning and feature engineering to predict the transport properties and growth mechanisms of novel semiconductor materials. These methods are further enhanced by high-throughput computation, enabling the construction of predictive models for new material properties and processing conditions.

On the infrared sensor side, our research takes a system-level approach—from the synthesis of active materials such as quantum dots, to device fabrication and characterization, and finally to the optimization of circuit components like amplifiers and wave filters. We utilize TCAD for device simulation, SPICE for circuit design, and integrate both into complete infrared sensing systems. We are also exploring the integration of compact solar cells into wearable electronics and IoT sensor platforms for self-powered operation.

Our methodology spans material-level calculations (DFT), device simulations (TCAD), circuit-level modeling (SPICE), and solvent-engineered processing techniques. Research interests include defect engineering, carrier dynamics, trap state characterization, and high-throughput screening for emerging compound semiconductors, quantum dots, and hybrid optoelectronic materials.

-Nikola Tesla