Schedule
The 7th edition of the NGSE conference will be about “Machine learning method and high-throughput experimentation for material research” with 13 invited speakers (30 min talk+ 5 min discussion) from leading scientists from all over the world.
On the last day two topic-specific workshops will be organized:
- Emerging PV database workshop. (5 talks + 2 demo)
- Transparent photovoltaic workshop. (4 talks)
NGSE 7 Tuesday Dec. 6th | NGSE 7 Wednesday Dec. 7th | Emerging PV workshop Thursday Dec. 8th (morning) | Transparent PV workshop Thursday Dec. 8th (afternoon) |
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15:45-15:55 Welcome NGSE Introduction | |||
15:55-16:30 Aram Amassian (North Carolina State University) Sustainable, Scalable and Collaborative High Throughput Experimentation for Energy Research | 15:30-16:05 Yicheng Zhao (University of Science and Technology of China) High-throughput intelligent photoluminescence analysis | 10:00-10:15 Osbel Almora (University Pablo de Olavide) 3 Years of Emerging PV initiative: Summary and Outlook | 14:00-14:30 Roland Krippner (Technische Hochschule Nürnberg) Building-integrated photovoltaics – On design and transparency in façade constructions |
16:30-17:05 Alexander Hammer (Dunia Innovations) From high-throughput platforms to smart labs | 16:05-16:40 Beat Ruhstaller (Zurich University of Applied Sciences, Fluxim AG) Characterizing & optimizing next generation solar cells | 10:15-10:40 Anita Ho-Baillie (University of Sydney) Perovskite Tandem Solar Cells | 14:30-15:00 Aldo di Carlo (University of Rome) Semitransparent photovoltaics: from dye sensitised to perovskite solar cells |
17:05-17:40 Loïc Roch (Atinary Technologies Inc.) Atinary SDLabs: ML-driven experiment planning for accelerated material discovery. | 16:40-17:15 Tobias Stubhan (SCIPRIOS GmbH) From Spincoating Robot to Materials Acceleration Platforms | 10:40-11:05 Hin-Lap Yip (City University of Hong Kong) Monolithic perovskite/organic tandem solar cells | 15:00-15:30 Harald Ade (North Carolina State University) Solar-Powered Integrated Greenhouse (SPRING) Systems Using Wavelength Selective Photovoltaics for Complete Solar Utilization |
17:40-18:15 Larry Lüer (University of Erlangen-Nuremberg) High throughput experimentation for quantitative structure-property relationships | 17:15-17:50 Thomas Kirchartz (Forschungszentrum Jülich) Bayesian parameter estimation for halide perovskite solar cells | 11:05-11:30 Mohammad Khaja Nazeeruddin (EPFL) To be announced | 15:30-16:00 Richard Lunt (Michigan State University) Emergence and Commercialization of Highly Transparent PVs for Distributed Applications |
18:15-18:25 Break | 17:50-18:00 Break | 11:30-11:55 Fei Guo (Jinan University) Suppressing Nonradiative Losses in Wide-Bandgap Perovskites for Printed Tandem Photovoltaic Devices | 17:00-17:40 ePV meeting & website demonstration- (American and Europe times edition) |
18:25-19:00 Pascal Friederich (Karlsruhe Institute of Technology) Machine learning methods for accelerated materials simulation and discovery | 18:00-18:35 Evelyne Knapp (Zurich University of Applied Sciences, Fluxim AG) Machine-Learning Assisted Parameter Extraction in Solar Cells | 11:55-12:20 Eva Unger (Helmholtz-Zentrum Berlin) The Perovskite Database: where we started from and where we need to go | |
19:00-19:35 Jens Hauch (Helmholtz Institute Erlangen-Nürnberg for Renewable Energy) From automated materials research to autonomous materials discovery | 18:35-19:10 Shijing Sun (Toyota Research Institute) How machine learning can help with experimental energy materials innovation | 12:20-13:00 ePV meeting & website demonstration- (Asia and Europe times edition) | |
19:35-20:10 Jie Xu (Argonne National Laboratory) Autonomous robotic platform (PolyBot) for electronic polymer discovery | 19:10-19:45 Curtis P. Berlinguette (University of British Columbia) Self-Driving Labs for the Optimization of Solar Cell Hole Transport Materials | 13:00-14:00 Break |