DaRUS

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Funding Information Agency: DFG Funding Information Agency: European Commission Publication Year: 2021

1 to 3 of 3 Results

Replication Data for: Scalable production of solid-immersion lenses for quantum emitters in silicon carbide Nov 15, 2021 - 3rd Physics Institute Sardi, Fiammetta, 2021, "Replication Data for: Scalable production of solid-immersion lenses for quantum emitters in silicon carbide", https://doi.org/10.18419/darus-2083, DaRUS, V1, UNF:6:WT2hLsr015Q+Y9l/lrLoDA== [fileUNF] Data to replicate the experimental data plots in the paper: Fig. 1d, e: AFM scans of SIL before the etching and after the etching, possibility to see how the mask changed in the etching process; Fig. 2a, b, c: Confoscal scan of the all SIL, g2 measurements of one defect inside th...
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Oct 15, 2021 - PN 6 Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/darus-2136, DaRUS, V1 Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab
Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake Jul 6, 2021 - RootWaterUptake Koch, Timo; Wu, Hanchuan; Schneider, Martin, 2021, "Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake", https://doi.org/10.18419/darus-2042, DaRUS, V1 This dataset contains scripts and data used to reproduce the results in the related publication (Koch et al. 2021). In detail, it contains data and scripts to show the effect of the Kirchhoff transformation for diffusion coefficients; convergence results for single and mutiple tu...

Replication Data for: Scalable production of solid-immersion lenses for quantum emitters in silicon carbide

Nov 15, 2021 - 3rd Physics Institute

Sardi, Fiammetta, 2021, "Replication Data for: Scalable production of solid-immersion lenses for quantum emitters in silicon carbide", https://doi.org/10.18419/darus-2083, DaRUS, V1, UNF:6:WT2hLsr015Q+Y9l/lrLoDA== [fileUNF]

Data to replicate the experimental data plots in the paper: Fig. 1d, e: AFM scans of SIL before the etching and after the etching, possibility to see how the mask changed in the etching process; Fig. 2a, b, c: Confoscal scan of the all SIL, g2 measurements of one defect inside th...

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Oct 15, 2021 - PN 6

Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/darus-2136, DaRUS, V1

Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab

Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake

Jul 6, 2021 - RootWaterUptake

Koch, Timo; Wu, Hanchuan; Schneider, Martin, 2021, "Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake", https://doi.org/10.18419/darus-2042, DaRUS, V1

This dataset contains scripts and data used to reproduce the results in the related publication (Koch et al. 2021). In detail, it contains data and scripts to show the effect of the Kirchhoff transformation for diffusion coefficients; convergence results for single and mutiple tu...

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