1 to 5 of 5 Results
Jul 22, 2024
Schatz, Michael; Streun, Matthias; Jovanovic, Sven; Eichel, Rüdiger-A.; Granwehr, Josef, 2024, "Replication Data for: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 Field Simulations with Experiments", https://doi.org/10.26165/JUELICH-DATA/KJTAXZ, Jülich DATA, V1
Results of B0 field simulations using FEMM and B1 field simulations using EMpro and NMR raw data acquired using Bruker software Topspin, described in the publication: Schatz M. et al.: Workflow for Systematic Design of Electrochemical In Operando NMR Cells by Matching B0 and B1 F... |
Jun 25, 2024
Schatz, Michael; Kochs, Johannes; Jovanovic, Sven; Eichel, Rüdiger-A.; Granwehr, Josef, 2024, "Replication Data for: Interplay of Local pH and Cation Hydrolysis during Electrochemical CO2 Reduction Visualized by In Operando Chemical Shift-Resolved Magnetic Resonance Imaging", https://doi.org/10.26165/JUELICH-DATA/DNBEIN, Jülich DATA, V1
Electrochemical data acquired with BioLogic software EC-Lab and NMR data acquired with Bruker software TopSpin during in operando CO2 electroreduction experiments, described in the publication: Schatz M. et al.: Interplay of Local pH and Cation Hydrolysis during Electrochemical C... |
Mar 19, 2024
Jovanovic, Sven; Jakes, Peter; Merz, Steffen; Daniel, Davis Thomas; Eichel, Rüdiger-A.; Granwehr, Josef, 2024, "Replication NMR Data for: In operando NMR investigations of the aqueous electrolyte chemistry during electrolytic CO2 reduction", https://doi.org/10.26165/JUELICH-DATA/0GQJFC, Jülich DATA, V1
NMR raw data of 13C and 23Na experiments for the in operando CO2 electrolysis experiments in aqueous HCO3- electrolyte, as described in the publication. The in operando electrolysis experiments were divided into 3 stages: open circuit voltage (OCV), chronoamperometry (CA) at a co... |
Mar 11, 2024
Daniel, Davis Thomas; Mitra, Souvik; Eichel, Rüdiger-A; Diddens, Diddo; Granwehr, Josef, 2024, "Replication Data and Code for: 'Machine learning isotropic g values of radical polymers'", https://doi.org/10.26165/JUELICH-DATA/TOBXWP, Jülich DATA, V1
This data repository contains the data sets and python scripts associated with the manuscript 'Machine learning isotropic g values of radical polymers '. Electron paramagnetic resonance measurements allow for obtaining experimental g values of radical polymers. Analogous to chemi... |
May 22, 2023
Szczuka, Conrad; Rüdiger-A. Eichel; Josef Granwehr, 2023, "Replication Data and Matlab Code for: StructureHyperfineRelations", https://doi.org/10.26165/JUELICH-DATA/UH0LM2, Jülich DATA, V1
Supporting data and scripts to the publication "Gauging the importance of structural parameters for hyperfine coupling constants in organic radicals". In the accompanying publication, we present a procedure based on a statistical approach to gauge the importance of structure para... |