Spectroscopy

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1 to 3 of 3 Results

Replication NMR Data for: In operando NMR investigations of the aqueous electrolyte chemistry during electrolytic CO2 reduction 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...
Replication Data and Code for: 'Machine learning isotropic g values of radical polymers' 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...
Replication Data and Matlab Code for: StructureHyperfineRelations 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...

Replication NMR Data for: In operando NMR investigations of the aqueous electrolyte chemistry during electrolytic CO2 reduction

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...

Replication Data and Code for: 'Machine learning isotropic g values of radical polymers'

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...

Replication Data and Matlab Code for: StructureHyperfineRelations

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...

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