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Meeting Home > Live Events > Session Recording
Area 5 > Session
Data Analysis and Machine Learning
  Tuesday, June 9, 2026           10:30 - 12:00 PM
Moderators
Mathilde Fievez , Anh Le
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Presentations
10:30 PHYSICS-INFORMED MACHINE LEARNING FOR SOLAR CELL DIAGNOSIS: EXTRACTING A PHYSICAL DIGITAL TWIN FROM INLINE METROLOGY
Andreas Fell, Alexandra Wörnhör, Wilkin Wöhler, Ralf Preu, Stefan Rein, Matthias Demant. Fraunhofer Institute for Solar Energy Systems, Freiburg, Germany
11:00 FROM SCARCE TO SEEN: ENHANCING RARE DEFECT VISIBILITY IN PHOTOVOLTAICS USING AI-GENERATED LUMINESCENCE IMAGES
Gaia M. N. Javier, Brendan Wright, Victoria Zhao, Tess Rickard, Ziv Hameiri. The University of New South Wales, Sydney, Australia
11:15 PHYSICS-INFORMED DEEP LEARNING FOR CURRENT-VOLTAGE CURVE PREDICTION OF PHOTOVOLTAIC DEVICES FROM ELECTROLUMINESCENCE IMAGES (yes)
Brandon K Byford1,2, Laura E Boucheron2, Norman R Jost1, Jennifer L Braid2. 1Sandia National Labs, Albuquerque, NM, USA 2New Mexico State University, Las Cruces, NM, USA
11:30 DETERMINING OPTICAL PROPERTIES FOR TEC-12D AND CDSE(Y)TE(1-Y) ALLOYS FOR MACHINE LEARNING ENHANCED SPECTROSCOPIC ELLIPSOMETRY
Alex V. Bordovalos1,2, Nadeesha P. Nadeesha1,2, Marie S. Tumusange1,2, Bishal Shrestha1,2, Suresh Chaulagain1,2, Randy J. Ellingson1,2, Nikolas J. Podraza1,2. 1University of Toledo Department of Physics and Astronomy, Toledo, OH, USA 2Wright Center for Photovoltaic Innovation and Commercialization, University of Toledo, Toledo, OH, USA
11:45 SUBJUNCTION SPATIAL EL CHARACTERIZATION TECHNIQUE FOR LARGE AREA III-V AND SI SPACE SOLAR CELLS
Rivka Stasavage, Kyle Virgil, Abigail R. Meyer, Don Walker, Yao Y. Lao. The Aerospace Corporation, El Segundo, CA, USA