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Jülich DATA (Forschungszentrum Jülich GmbH)
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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

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1 to 10 of 736 Results
Oct 6, 2026 - Batteries
Domgans, Anna; Braun, Tobias; Daniel, Davis Thomas; Aghdassi, Nabi; Speer, Sebastian; Rossberg, André; Schumacher, Sebastian; Alekseev, Evgeny; Raijmakers, Luc; Windmüller, Anna; Prof. Eichel, Rüdiger.-A, 2026, "Replication Data for: Correlation Between Fe/Mn/Ni Ratio and Structural Properties in P2-Na2/3Mn2/3Fe1/3-xNixO2 (x = 0, 0.02, 0.05, 0.1 and 1/3)", https://doi.org/10.26165/JUELICH-DATA/9MKYS8, Jülich DATA, V1
Overview: This study investigates the influence of the Fe/Mn/Ni ratio on the structural properties and phase transitions of the P2-type material Na2/3Mn2/3Fe1/3-xNix (x = 0, 0.02, 0.05 and 1/3). We show through X-ray diffraction and different spectroscopy methods such as Raman an...
Oct 2, 2026 - Low-Temperature Conversion
Froehlich, Kristina; Hilche, Tobias; Camara, Osmane; König, Christoph; Park, Inhee; Speer, Sebastian; Liu, Jialiang; Jovanovic, Sven; Hausen, Florian; Jodat, Eva; Karl, André; Eichel, Rüdiger-A., 2026, "Replication Data for: Correlating electrode morphology with electrochemical properties in PEM water electrolysis MEAs after variable load cycling", https://doi.org/10.26165/JUELICH-DATA/LY6DT6, Jülich DATA, V1
This is the data publication accompanying the published manuscript -------------------------------------------------------------------------- 'Correlating Electrode Morphology with Electrochemical Properties in PEM Water Electrolysis CCMs after Variable Load Cycling' ------------...
Sep 30, 2026 - Institute of Energy Technologies – Electrochemical Process Engineering (IET-4)
Utsch, Nikolai; Berg, Florian; Scheepers, Fabian; Holtwerth, Sebastian; Shviro, Meital; Lehnert, Werner; Mechler, Anna, 2026, "Innovative Method for Reliable Measurement of PEM Water Electrolyzer Component Resistances", https://doi.org/10.26165/JUELICH-DATA/YJNJFK, Jülich DATA, V1
Understanding the sheet resistance of porous electrodes is essential for improving the performance of polymer electrolyte membrane (PEM) water electrolyzers and related technologies. Despite its importance, existing methods often fail to provide reliable and comprehensive data, e...
Sep 29, 2026 - Jülich Aachen ReRAM Tools (JART)
Ahmad, Rana Walied; Menzel, Stephan, 2025, "JART v-ECM v1", https://doi.org/10.26165/JUELICH-DATA/NDUPBU, Jülich DATA, V2
A comprehensive, novel and consistent volatile ECM model is proposed that is derived from the nonvolatile physics-based model "JART ECM v1" comprising electrocrystallization, electron-transfer reactions at the interfaces and ionic migration as speed limiting ionic processes. Addi...
Sep 25, 2026 - Plant-Soil-Atmosphere Exchange Processes
Rothfuss, Youri, 2026, "Replication Data for: Sunflower_SWaP-Water_stable_isotope_project", https://doi.org/10.26165/JUELICH-DATA/3GFM7N, Jülich DATA, V1
Data supporting the following preprint in HESS: Rothfuss, Y., Le Gall, S., Brüggemann, N., Jahan, S., Javaux, M., Klaus, J., Vereecken, H., and van Dusschoten, D.: Online xylem water isotope monitoring and soil water content profiling reveal spatial root water uptake dynamics in...
Sep 25, 2026 - Peter Grünberg Institute (PGI) – Electronic Materials (PGI-7)
Salwa, Yasmeen Neyaz, 2026, "Investigation on the Impact of Memristive Device Variability on Uncoupled Memristive Cellular Nonlinear Networks", https://doi.org/10.26165/JUELICH-DATA/R3LHEN, Jülich DATA, V1
Description The dataset contains all raw data and Python scripts (.py) used to create the figures in the manuscript "Investigation on the Impact of Memristive Device Variability on Uncoupled Memristive Cellular Nonlinear Networks". The manuscript is not yet publicly available; we...
Sep 25, 2026 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Eggers, Vincent; Inzani, Giacomo; Meierhofer, Manuel; Münster, Lasse; Helm, Jakob; Wallauer, Robert; Zajusch, Sarah; Ito, Suzu; Machtl, Leon; Yin, Hao; Kumpf, Christian; Bocquet, Francois C.; Bao, Changhua; Güdde, Jens; Tautz, F. Stefan; Huber, Rupert; Höfer, Ulrich, 2026, "Data used in: Subcycle videography of lightwave-driven Landau-Zener-Majorana transitions in graphene", https://doi.org/10.26165/JUELICH-DATA/HZFKTH, Jülich DATA, V1
We provide the data needed to reproduce the figures in Eggers et al., "Data used in: Subcycle videography of Landau-Zener-Majorana transitions in graphene"
Sep 25, 2026 - Low-Temperature Conversion
Emken, Simon; Froehlich, Kristina; Bauer, Alexander; Jodat, Eva; Karl, André; Eichel, Rüdiger-A., 2026, "Replication Data for: "On the Role of the Binding Agent in Silver-Based Low-Temperature Electroreduction of CO2 to CO with Flowing Aqueous Electrolyte"", https://doi.org/10.26165/JUELICH-DATA/20LSMQ, Jülich DATA, V1
In this study, the role of the binding agent in silver-based low-temperature electroreduction of carbon dioxide (CO2) to carbon monoxide (CO) was investigated by comparing silver nanoparticle-based gas diffusion electrodes (GDEs) prepared by ultrasonic spray coating with binding...
Sep 14, 2026 - Peter Grünberg Institut – Quantum Nanoscience (PGI-3)
Kovalchuk, Serhii; Kämpfer, David; Hofmann, Jonathan K.; Balashov, Timofey; Cherepanov, Vasily; Voigtländer, Bert; Morawski, Ireneusz; Tautz, F. Stefan; Lüpke, Felix, 2026, "Data used in: Imaging the transition from diffusive to Landauer resistivity dipoles", https://doi.org/10.26165/JUELICH-DATA/1QRJ42, Jülich DATA, V1
We provide the Data and source code used in Kovalchuk et al. "Imaging the transition from diffusive to Landauer resistivity dipoles"
Sep 9, 2026 - Campus Collection
Heumann, Robin; Rudolph, Toby; Gaosheng, Huang; Kirchartz, Thomas; Dreessen, Chris, 2026, "Scripts for Rapid Parameter Estimation from Photoluminescence Decays of Halide Perovskite Thin Films", https://doi.org/10.26165/JUELICH-DATA/2IEHBF, Jülich DATA, V1
The dataset entails synthetic physics simulations and experimental photoluminescence measurements by HEUMANN, RUDOLPH, HUANG, KIRCHARTZ and DREESSEN (Forschungszentrum Jülich), supporting neural-network-accelerated Shockley–Read–Hall (SRH) trap characterisation of semiconductor t...
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