Matter meets Information: Common Challenges and Perspectives
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Europe/Berlin
Seminar room 4 (DESY)
Seminar room 4
DESY
DESY
Notkestrasse 85
22607 Hamburg
Michael Bussmann(Helmholtz-Zentrum Dresden - Rossendorf), Volker Guelzow(DESY)
Description
This workshop aims to strengthen the scientific exchange between Information and DMA (Matter) in general and identify areas of common interest and in particular common challenges which could be more successfully tackled in a cooperative effort.
INFORMATION Talk 1: Machine learning for data analysis of large volume data and measurement steering
Speaker:
DrJürgen Mohr(KIT)
Slides
7
DMA Talk 1: Machine Learning for data analysis, modelling & control
Speaker:
Frank Gaede(DESY)
Slides
16:10
Coffee BreakSeminar room 4
Seminar room 4
DESY
DESY
Notkestrasse 85
22607 Hamburg
Plenary 2Seminar room 4
Seminar room 4
DESY
DESY
Notkestrasse 85
22607 Hamburg
Convener:
Michael Bussmann(Helmholtz-Zentrum Dresden - Rossendorf)
8
INFORMATION Talk 3: Analysis of imaging data by machine learning // Computational analysis of Data gained from in situ and in operando studies of biomaterials
Speakers:
DrFlorian Wieland(HZG), DrJulian Philipp Moosmann(HZG)
Slides
9
DMA Talk 3: Data analysis for extremely large data samples
Speaker:
Thorsten Kollegger(GSI)
Slides
10
INFORMATION Talk 4: Correlative characterization for ex-situ and in-situ analysis
Speaker:
DrChristian Kübel
Slides
11
DMA Talk 4: HPC Start-to-end simulations & digital twins
INFORMATION Talk 5: Data reduction in the cloud // Instrument and experiment specific software development
If instruments generate so much data that users cannot
take them home, or if users are not able to install software
on their own computers, then the solution could be to offer
data reduction and analysis as a service on a cloud server.
For efficient operation of user facilities like JCNS,
data reduction and analysis software must be consolidated,
made more user friendly, and adapted to ever new scientific
needs.
Speaker:
DrJoachim Wuttke(FZJ)
15
DMA Talk 6: Petascale data integration, data fusion & meta data management