by Gergely Zimanyi | Jun 11, 2023 | Papers
2023. A. Diggs, A Goga, Z. Crawford; G. T. Zimanyi TOPCon Solar Cell Degradation via Pinhole Nucleation 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC), San Juan, PR, USA, 2023, pp. 1-3, doi: 10.1109/PVSC48320.2023.10359586
by Mountain Clarity | Jun 11, 2023 | Papers
2023. Z. Zhao, G. Chen, R. V. Meidanshahi and G. T. Zimányi Machine Learning-Based Defect Identification Method at the c-Si/a-Si:H Interface 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC), San Juan, PR, USA, 2023, pp. 1-3
by Gergely Zimanyi | Apr 12, 2023 | Papers
2023. A. Diggs, Z. Zhao, R.V. Meidanshahi, D. Unruh, S. Manzoor, M. Bertoni, S. M. Goodnick, & G. T. Zimányi Hydrogen-induced degradation dynamics in silicon heterojunction solar cells via machine learning Nature Communications Materials. 4, 24
by Gergely Zimanyi | Nov 21, 2022 | Papers
2022. A. Abelson, C. Qian, Z. Crawford, G. T. Zimanyi, M. Law. High-Mobility Hole Transport in Single-Grain PbSe Quantum Dot Superlattice Transistors Nano Lett. 2022, 22, 23, 9578–9585
by Gergely Zimanyi | Oct 27, 2022 | Papers
2022. G. T. Zimanyi, M. Bertoni Exploring Si Heterojunction Solar Cell Degradation: Bulk and Interface Processes Analyzed by Simulations and Experiments in Order to Develop Mitigation Strategies OSTI.gov 1836838
by Gergely Zimanyi | Jun 5, 2022 | Papers
2022. G. T. Zimanyi, D. Unruh, R. Vatan, Z. Zhao, A. Diggs, S. Goodnick From Femtoseconds to Gigaseconds: The SolDeg Project to Analyze Si Heterojunction Cell Degradation with Machine Learning 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), 1061-1061
