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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)
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