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Subject: Physics Deposit Date: 2021

11 to 20 of 41 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...
Data for: Evaporation driven by conductive heat transport Nov 11, 2021 - Subarea B6 Homes, Simon; Heinen, Matthias; Vrabec, Jadran; Fischer, Johann, 2021, "Data for: Evaporation driven by conductive heat transport", https://doi.org/10.18419/darus-2230, DaRUS, V1 The present data is a digest of the simulations conducted in the scope of the related publication. The phenomena of stationary evaporation of the Lennard-Jones-truncated-shifted fluid was studied using large scale Molecular Dynamics (MD) simulations. The domain of the conducted s...
Radio Noise Measurement Flying Laptop (2018-2021) Oct 22, 2021 - Flying Laptop Boettcher, Maximilian; Gaisser, Steffen; Klinkner, Sabine, 2021, "Radio Noise Measurement Flying Laptop (2018-2021)", https://doi.org/10.18419/darus-1245, DaRUS, V2, UNF:6:MADgmXySkLxA+TEjrXWr0Q== [fileUNF] S-Band Signal Automatic Gain Control (SAGC) measurements of TC receiver with timestamp and position data (based on TLE propagation) of Flying Laptop. The timestamps are available as UTC in milliseconds (Unix epoch) or as local time (if available). The SAGC values corresponds to t...
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: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach Oct 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/darus-1778, DaRUS, V1 This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). do...
Replication Data for: Nanofabricated and integrated colour centres in silicon carbide with high-coherence spin-optical properties Sep 16, 2021 - 3rd Physics Institute Kaiser, Florian, 2021, "Replication Data for: Nanofabricated and integrated colour centres in silicon carbide with high-coherence spin-optical properties", https://doi.org/10.18419/darus-2107, DaRUS, V1, UNF:6:kKKhF3wNW92MLzgUUL83Bw== [fileUNF] CSV data sets to reproduce all plots in the paper and the Supplementary Information.
Hydrogen Database Aug 24, 2021 - ITP1 - Wunner Group Schimeczek, Christoph, 2021, "Hydrogen Database", https://doi.org/10.18419/darus-2118, DaRUS, V1 Hydrogen Database This dataset contains energies of hydrogen states as well as transition energies and dipole strengths in dependence of the magnetic field strength given in β, where β = B / B0 with the reference magnetic field strength B0 = 4.70103×105 T. The energies are given...
Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces" Aug 20, 2021 - Paper Nature Materials 2021 Schlaich, Alexander, 2021, "Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"", https://doi.org/10.18419/darus-2115, DaRUS, V1 This dataset includes the basic simulation scripts needed in order to reproduce the data shown in "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces". The folder structure corresponds to the ind...
Experimental data of flash boiling liquid nitrogen sprays (Test Case IN-1) Jul 29, 2021 - Subarea B4 Rees, Andreas; Oschwald, Michael, 2021, "Experimental data of flash boiling liquid nitrogen sprays (Test Case IN-1)", https://doi.org/10.18419/darus-2076, DaRUS, V1, UNF:6:WzjTONgKlTqgJ42vqQnX5g== [fileUNF] The flash boiling process of superheated liquid nitrogen (LN2) under high-altitude conditions was investigated with the help of a cryogenic temperature adjustment system and injection system at the test bench M3.3 at DLR Lampoldshausen. The test fluid LN2 reaches its superheated...
Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations' Jul 12, 2021 - Institute of Thermodynamics and Thermal Process Engineering Kessler, Christopher; Eller, Johannes; Gross, Joachim; Hansen, Niels, 2021, "Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations'", https://doi.org/10.18419/darus-1775, DaRUS, V1, UNF:6:kTnkyWKU1qxxwfkXXMvp8w== [fileUNF] This dataset contains results from classical Density Functional Theory (DFT) and Grand Canonical Monte Carlo (GCMC) Simulation. We report excellent agreement between the fluid theoretical approach (DFT), which is a more coarse grained approach and stochastic simulation (GCMC) on...

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...

Data for: Evaporation driven by conductive heat transport

Nov 11, 2021 - Subarea B6

Homes, Simon; Heinen, Matthias; Vrabec, Jadran; Fischer, Johann, 2021, "Data for: Evaporation driven by conductive heat transport", https://doi.org/10.18419/darus-2230, DaRUS, V1

The present data is a digest of the simulations conducted in the scope of the related publication. The phenomena of stationary evaporation of the Lennard-Jones-truncated-shifted fluid was studied using large scale Molecular Dynamics (MD) simulations. The domain of the conducted s...

Radio Noise Measurement Flying Laptop (2018-2021)

Oct 22, 2021 - Flying Laptop

Boettcher, Maximilian; Gaisser, Steffen; Klinkner, Sabine, 2021, "Radio Noise Measurement Flying Laptop (2018-2021)", https://doi.org/10.18419/darus-1245, DaRUS, V2, UNF:6:MADgmXySkLxA+TEjrXWr0Q== [fileUNF]

S-Band Signal Automatic Gain Control (SAGC) measurements of TC receiver with timestamp and position data (based on TLE propagation) of Flying Laptop. The timestamps are available as UTC in milliseconds (Unix epoch) or as local time (if available). The SAGC values corresponds to t...

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: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach

Oct 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach

Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/darus-1778, DaRUS, V1

This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). do...

Replication Data for: Nanofabricated and integrated colour centres in silicon carbide with high-coherence spin-optical properties

Sep 16, 2021 - 3rd Physics Institute

Kaiser, Florian, 2021, "Replication Data for: Nanofabricated and integrated colour centres in silicon carbide with high-coherence spin-optical properties", https://doi.org/10.18419/darus-2107, DaRUS, V1, UNF:6:kKKhF3wNW92MLzgUUL83Bw== [fileUNF]

CSV data sets to reproduce all plots in the paper and the Supplementary Information.

Hydrogen Database

Aug 24, 2021 - ITP1 - Wunner Group

Schimeczek, Christoph, 2021, "Hydrogen Database", https://doi.org/10.18419/darus-2118, DaRUS, V1

Hydrogen Database This dataset contains energies of hydrogen states as well as transition energies and dipole strengths in dependence of the magnetic field strength given in β, where β = B / B0 with the reference magnetic field strength B0 = 4.70103×105 T. The energies are given...

Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"

Aug 20, 2021 - Paper Nature Materials 2021

Schlaich, Alexander, 2021, "Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"", https://doi.org/10.18419/darus-2115, DaRUS, V1

This dataset includes the basic simulation scripts needed in order to reproduce the data shown in "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces". The folder structure corresponds to the ind...

Experimental data of flash boiling liquid nitrogen sprays (Test Case IN-1)

Jul 29, 2021 - Subarea B4

Rees, Andreas; Oschwald, Michael, 2021, "Experimental data of flash boiling liquid nitrogen sprays (Test Case IN-1)", https://doi.org/10.18419/darus-2076, DaRUS, V1, UNF:6:WzjTONgKlTqgJ42vqQnX5g== [fileUNF]

The flash boiling process of superheated liquid nitrogen (LN2) under high-altitude conditions was investigated with the help of a cryogenic temperature adjustment system and injection system at the test bench M3.3 at DLR Lampoldshausen. The test fluid LN2 reaches its superheated...

Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations'

Jul 12, 2021 - Institute of Thermodynamics and Thermal Process Engineering

Kessler, Christopher; Eller, Johannes; Gross, Joachim; Hansen, Niels, 2021, "Supplementary material for 'Adsorption of Light Gases in Covalent Organic Frameworks: Comparison of Classical Density Functional Theory and Grand Canonical Monte Carlo Simulations'", https://doi.org/10.18419/darus-1775, DaRUS, V1, UNF:6:kTnkyWKU1qxxwfkXXMvp8w== [fileUNF]

This dataset contains results from classical Density Functional Theory (DFT) and Grand Canonical Monte Carlo (GCMC) Simulation. We report excellent agreement between the fluid theoretical approach (DFT), which is a more coarse grained approach and stochastic simulation (GCMC) on...

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