NGSE8 is coming!

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NGSE is a global conference on solar energy organized by FAU and HI ERN, held annually in December, and a bi-monthly PhD-Postdoc series. NGSE 8, in collaboration with LBNL, takes place on December 12-14, 2023, in Erlangen, featuring a hybrid format. The focus is on “High-throughput Synthesis and AI for Energy Materials,” with a workshop on the Emerging PV database project on the final day. The conference will be freely accessible via Zoom Webinar for registered online participants! You can register here

Tuesday, December 12th

Time BerkeleyTime ErlangenSpeaker
7:00 – 7:3016:00 – 16:30Marcus Noack (LBNL): Mathematical Nuances of Gaussian-Process-Driven Autonomous Experimentation
7:30 – 8:0016:30 – 17:00Sergei Kalinin (University of Tennessee): Autonomous probe microscopy of combinatorial libraries: physics discovery and materials optimization
8:00 – 8:3017:00 – 17:30Pascal Friederich (KIT): Machine learning to simulate, understand, and design molecules and materials
8:30 – 9:0017:30 – 18:00Jianchang Wu (HI ERN): Predicting hole transport materials for perovskite solar cells assisted by machine learning.
9:00 – 9:3018:00 – 18:30break
9:30 – 10:0018:30 – 19:00Alessandro Troisi (University of Liverpool): Digital Materials Discovery in Organic Electronics
10:00 – 10:3019:00 – 19:30Felipe Oviedo (Microsoft): DeepDeg: Forecasting and explaining degradation in novel photovoltaics
10:30 – 11:0019:30 – 20:00Mariano Campoy Quiles (ICMAB): Using high throughput screening to match materials and photovoltaic applications
11:00 – 11:3020:00 – 20:30Benjamin Sanchez Lengeling (Google): Learning Representations of Data: An introduction to the Deep Learning Toolkit for Sciences and Engineering

Wednesday, December 13th

Time BerkeleyTime ErlangenSpeaker
7:00 – 7:3016:00 – 16:30Thomas Kirchartz (FZ Jülich): Transforming characterization data into information in emerging solar cells
7:30 – 8:0016:30 – 17:00Marina Leite (UC Davis): A Machine Learning Framework to Predict Halide Perovskite’s Dynamic Behavior
8:00 – 8:3017:00 – 17:30Aron Walsh (Imperial College): Hunt for the next halide perovskite
8:30 – 9:0017:30 – 18:00Larry Lüer (FAU): Towards a digital twin for PV materials
9:00 – 9:3018:00 – 18:30break
9:30 – 10:0018:30 – 19:00Mashid Ahmadi (University of Tennessee): Automated High Throughput Synthesis and Characterization of Metal Halide Perovskites: Exploration and Exploitation
10:00 – 10:3019:00 – 19:30David Fenning (UC San Diego): Perovskites with Precision: the Perovskite Automated Solar Cell Assembly Line (PASCAL)
10:30 – 11:0019:30 – 20:00Helge Stein (KIT): Catalyzing research acceleration through the engineering of science
11:00 – 11:3020:00 – 20:30Ivano Castelli (DTU): Autonomous workflows for an accelerated discovery of energy materials

Thursday, December 14th

Time ErlangenSpeaker
13:45 – 14:00Osbel Almora (Universitat Rovira i Virgili): Emerging PV report 2023
14:00 – 14:30René Janssen (TU Eindhoven): Multijunction Perovskite Solar Cells: Materials, Devices, and Characterization
14:30 – 15:00Kenjiro Fukuda (RIKEN): Very Thin and Lightweight Flexible Organic Solar Cells: Performance and Potential Applications
15:00 – 15:30Vincent M. Le Corre (FAU / HI ERN): Machine learning and device modeling as an automated diagnostic tool for high-throughput research
15:30 – 16:00break
16:00 – 16:30Maria A. Loi (University of Groningen): SnO2  for High-Performance and Stable Organic Solar Cells
16:30 – 17:00Barry P. Rand (Princeton): Unforeseen ink chemistry: Solutions for perovskite solar cells
17:00 – 17:30Maria Ronda-Lloret (Wiley): AI Tools in Scientific Writing and Publishing
17:30 – 17:40Christoph J. Brabec (HI-ERN / FAU): Concluding remarks