Data-Driven Research for Photovoltaics

We integrate experimental photovoltaics with quantitative data analysis to accelerate materials discovery and device optimization. By combining electrical characterization, performance-loss analysis, stability assessment, and materials-property evaluation, we seek to identify the key factors governing the performance and reliability of emerging photovoltaic technologies.

Experimental data provide feedback for refining material compositions, interface engineering, and device-processing conditions. Together with predictive and data-driven methods, this approach supports more targeted experimentation, improved understanding of degradation mechanisms, and more efficient development of next-generation photovoltaic devices.