Automated Photovoltaic Parameter Extraction System Using Physics-Guided Bayesian Optimization
Dec 3, 2025Ā·
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0 min read
Woonghee Lee
Jihye Gwak
Yongjin Kim
Hyeongwoo Kim
Sanghee Lee
Seunghee Lee
Je-hyun Lee
Yunae Cho
Abstract
System that automatically fits theoretical material parameters required for
lifetime prediction from solar-cell carrier-lifetime measurements (e.g., ĪnāĻ
curves) via Bayesian optimization, with physical constraints embedded in the
optimization to rule out unphysical solutions. Supports automated measurement
analysis pipelines.
Type
Publication
Software Copyright Registration Ā· Korea Copyright Commission
Authors
Senior Researcher Ā· Principal Investigator
Woonghee Lee leads the DAIS Research Group at the Korea Institute of
Energy Research (KIER). His research applies deep learning to image, signal,
and text data ā currently focused on AI methods for energy and materials
research, including time-series and document analysis, robust deep models,
and AI agents for research workflows.