
Multi Modal Microscopy for New Energy Research
Joint FZ Jülich & ZEISS Workshop
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Agenda
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9 AM
Registration
9.30 AM
Welcome
Dr. Eva Jodat, Forschungszentrum Jülich9.45 AM
ZEISS On Your Campus workshops - An established tradition in a new context
Frank Josten, ZEISS Microscopy
10 AM
Light Microscopy in Material Research
Robert Stoessel, ZEISS Microscopy
10.45 AM
Coffee Break
11.15 AM
CT-Technology in Materials Research
Julian Koerner, ZEISS GOM Metrology12.15 PM
X-ray microscopy for non-destructive 3D imaging - Understanding structures in the sub-micrometer range
Christian Straube, ZEISS Microscopy
1.30 PM
Lunch
2.30 PM
Application of SEM on microstructure analysis of fuel cells and Li-ion batteries
Andreas Kopp, Matworks GmbH / Hochschule Aalen
3.15 PM
Optical 3D - Deformation Analysis in Material Research and Component Testing
Harald Friebe, ZEISS GOM Metrology
4 PM
End of Day 1
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9.30 AM
Electrochemical processes for a carbon neutral future – energy research @ IET-1
Prof. Florian Hausen, Forschungszentrum Jülich9.45 AM
From ex situ to in-operando: X-Ray Computed Tomography for Water Electrolysis
Christine Heume, Forschungszentrum Jülich10.30 AM
Artificial Intelligence in Image Analysis
Oliver Tress, ZEISS Microscopy
11 AM
Coffee Break
11.30 AM
Connected Microscopy-From Overview to nm resolution
Ilona Wimmer, ZEISS Microscopy
12 PM
Machine Learning and Artificial Intelligence in Image Analysis
Matthias Gaenge, ZEISS Microscopy
12.30 PM
Sweet Spot Imaging with the GeminiSEM.
Markus Boese, ZEISS Microscopy
1.15 PM
Lunch
2 PM
- Lab Tour - Electron Microscopy @ IET-1 Forschungszentrum Jülich
- Lab Tour - X-ray Microscopy @ IET-1 Forschungszentrum Jülich
- Discover the Battery workflow in Virtual Reality
- Individual Hands-on demonstration
- Machine Learning and Artificial Intelligence in Image Analysis
1 hour per station
5 PM
End of Day 2
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- Lab Tour - Electron Microscopy @ IET-1 Forschungszentrum Jülich
- Lab Tour - X-ray Microscopy @ IET-1 Forschungszentrum Jülich
- Discover the Battery workflow in Virtual Reallity
- Individual Hands-on demonstration
- Machine Learning and Artificial Intelligence in Image Analysis