[Tu4d-Oc2] Sub area CC-2: AI for Silicon and Perovskite Cells | PVSEC-35

Session Details

Sub area CC-2: Artificial Intelligence in PV DevelopmentCross Cutting Areas : Sub area CC-2: Artificial Intelligence in PV Development

[Tu4d-Oc2]Sub area CC-2: AI for Silicon and Perovskite Cells

Tue. Nov 12, 2024 4:00 PM - 5:30 PM JST
Tue. Nov 12, 2024 7:00 AM - 8:30 AM UTC

401(4F)

Session Chair(s):Takuto Kojima(AIST), Hiroaki Kudo(Nagoya Univ.)

4:00 PM - 4:30 PM JST(7:00 AM - 7:30 AM UTC)

[Tu4d-Oc2-01 (Invited)]Recent developments in quality inspection for solar cell production using deep learning techniques

*Matthias Demant¹, Philipp Kunze¹, Alexandra Wörnhör¹, Leslie Kurumundayil¹, Wilkin Wöhler¹, Daniel Burkhardt¹, Julian Behrendt¹, Andreas Fell¹, Jonas Haunschild¹, Johannes Greulich¹, Stefan Rein¹ (1. Fraunhofer ISE (Germany))

4:30 PM - 4:45 PM JST(7:30 AM - 7:45 AM UTC)

[Tu4d-Oc2-02]A material and process acceleration platform for slot-die coated perovskite photovoltaics

*Simon Ternes¹, Maurizio Stefanelli¹, Aldo Di Carlo^1,2 (1. CHOSE, Centre for Hybrid and Organic Solar Energy, University of Rome “Tor Vergata”,Department of Electronic Engineering, Via del Politecnico 1, 00133 Rome, Italy (Italy), 2. ISM-CNR, Istituto di Struttura della Materia, Consiglio Nazionale delle Ricerche, via del Fosso del Cavaliere 100, 00133 Rome, Italy (Italy))

4:45 PM - 5:00 PM JST(7:45 AM - 8:00 AM UTC)

[Tu4d-Oc2-03]Machine Learning-Driven Prediction of Ambient-Processed Perovskite Solar Cell Performance Using Dew Point

*Seungtae Lee¹, Dowon Pyun¹, Solhee Lee¹, Jae Keun Hwang¹, Wonkyu Lee¹, Jiyeon Nam¹, Ji-Seong Hwang¹, Seok-Hyun Jeong¹, Sujin Cho¹, Kyunghwan Kim¹, Youngmin Kim², Youngho Choe³, Yoonmook Kang², Hae-Seok Lee², Donghwan Kim¹ (1. Department of Materials Science and Engineering, Korea University (Korea), 2. Graduate School of Energy and Environment (KU-KIST Green School), Korea University (Korea), 3. Institute of Energy Technology, Korea University (Korea))

5:00 PM - 5:15 PM JST(8:00 AM - 8:15 AM UTC)

[Cancelled] Prediction of lead-free perovskites with enhanced accuracy for photovoltaic applications

5:15 PM - 5:30 PM JST(8:15 AM - 8:30 AM UTC)

[Cancelled] Machine learning for finding Pb replacement material for perovskite solar cells

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