Open Research Data from the CryoEM Group at the Institute for Molecular Systems Engineering and Advanced Materials of Heidelberg University.
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1 to 3 of 3 Results
Deconstructing 3D Structured Materials by Modern Ultramicrotomy for Multimodal Imaging and Volume Analysis Across Length Scales [Research data and source code]
Jul 11, 2023
Wacker, Irene; Curticean, Ronald; Ryklin, Daniel; Weidinger, Britta; Mayer, Frederik; Huang, Li-Yu; Hoffmann, Julian; Islam, Monsur; von Coelln, Nadine; Schmitt, Tanja; Huck, Christian; Tegeder, Petra; Feist, Florian; Kammerer, Jochen A.; Barner-Kowollik, Christopher; Wegener, Martin; Blasco, Eva; Gengenbach, Ulrich; Schröder, Rasmus R., 2023, "Deconstructing 3D Structured Materials by Modern Ultramicrotomy for Multimodal Imaging and Volume Analysis Across Length Scales [Research data and source code]", https://doi.org/10.11588/data/TOEQZB, heiDATA, V1
Based on the rapid advances in additive manufacturing, micro-patterned heterostructures of soft materials have become available that need to be characterized down to the nanoscale. Advanced function-structure relationships are designed by direct 3D structuring of the object and –...
Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]
Jan 24, 2022
Köntges, Wolfgang; Perkhun, Pavlo; Kammerer, Jochen; Alkarsifi, Riva; Würfel, Uli; Margeat, Olivier; Videlot-Ackermann, Christine; Simon, Jean-Jacques; Schröder, Rasmus R.; Ackermann, Jörg; Pfannmöller, Martin, 2022, "Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]", https://doi.org/10.11588/data/ZW8JL9, heiDATA, V1
Research Data associated with the related publication.
Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]
Jan 27, 2021
Kammerer, Jochen A.; Duan, Xiaoyang; Neubrech, Frank; Schröder, Rasmus R.; Liu, Na; Pfannmöller, Martin, 2021, "Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]", https://doi.org/10.11588/data/LMMXAI, heiDATA, V1
Research Data and Source Code associated with the related publication.
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