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  4. EXC 3120 BlueMat - Cross Area Imaging
 
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Projekt Titel
EXC 3120 BlueMat - Cross Area Imaging
Funding code
945.03-1109
Startdatum
January 1, 2026
Enddatum
December 31, 2032
Gepris ID
533771286
Übergeordnetes Projekt
EXC 3120 - BlueMat - Wassergesteuerte Materialien  
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Funder
Deutsche Forschungsgemeinschaft (DFG)  
Funding Program
Exzellenzcluster (ExStra)
Institut
Prozessbildgebung V-10  
Betriebseinheit Elektronenmikroskopie BEEM  
Principal Investigator
Lehmkühler, Felix  
Zeller-Plumhoff, Berit  
Co-Investigators
Burger, Martin
Greving, Imke
Kramer, Denis  
Madsen, Anders  
Penn, Alexander  orcid-logo
Ritter, Martin  orcid-logo
Vagovic, Patrik  
Co-Workers
Özdemir, Melis
McPeak, Joseph  
Flenner, Silja  
Bruhn, Malte  
Röper, Sina  
Involved external organisation
Helmholtz-Zentrum Hereon  
Deutsches Elektronen-Synchrotron DESY  
Helmut-Schmidt-Universität  
European X Ray Free Electron Laser Facility GmbH  
To unravel the unique physics and chemistry of water-driven materials, the CA Imaging aims to achieve groundbreaking innovations in three primary focus areas: (1) extreme temporal resolution imaging, (2) multiscale imaging spanning 10 orders of magnitude in length and 16 in time, and (3) correlative image analysis that integrates these diverse data sources to uncover the role and structural dynamics of water in multiscale structured matter with an unprecedented accuracy and comprehensiveness. To this end, BlueMat will leverage the unparalleled infrastructure at the EuXFEL and PETRA III at DESY in Hamburg, offering exceptional opportunities for correlative in-operando characterization. Extreme temporal resolution imaging will be realized by advancing MHz X-ray multi-projection imaging (MHz XMPI), stroboscopic pump-probe X-ray diffraction (XRD), and X-ray photon correlation spectroscopy (XPCS) at X-ray free electron lasers. This will enable the visualization of atomic interactions, molecular mobility, and flow dynamics down to femtosecond and picosecond timescales. Leveraging a uniquely comprehensive combination of methods, we will image water across a wide range of scales. For instance, we will observe macroscale mean flow using magnetic resonance (MR), ?m- to sub-?m-scale flow patterns via synchrotron radiation nano computed tomography (SRnCT), and detailed processes at the nm-scale using scanning and transmission electron microscopy (SEM/TEM). Finally, CA Imaging will pioneer computational and deep learning techniques to achieve a step change in throughput and resolution of characterization methods, enabling truly correlative image analysis. The qualitative and quantitative data collected in CA Imaging are crucial for model validation in CA Modeling and calibration in CA Exploitation & Experiencing. By making these unique methods available to all young researchers in the cluster, CA Imaging further contributes to the highly advanced education they will receive.
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