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Funding Information Agency: BMBF Funding Information Agency: DFG

1 to 10 of 11 Results

Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data Jun 6, 2024 - Projects without PN Affiliation Herkert, Robin, 2024, "Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data", https://doi.org/10.18419/darus-4227, DaRUS, V1 This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". In this paper we address the challenging application of 3D pore scale reactive flow under va...
Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics May 29, 2024 - 3rd Physics Institute Liu, Di, 2024, "Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics", https://doi.org/10.18419/darus-4226, DaRUS, V1, UNF:6:T9zmgDKrhoWAtKZh6Xavew== [fileUNF] Datasets are for reproducing the measured data points and simulated/calculated theory curves in the figures depicted in the main text and supplement. The abbreviations in the datasets correspond to the figure captions in the journal version to be published. The respective subpane...
Percentile Intervals in Bayesian Inference are Overconfident Mar 19, 2024 - Institute for Stochastics and Applications Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1 This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material)....
Self-diffusion coefficients of simulated aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Densities of simulated aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3112, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Self-diffusion coefficients of simulated aqueous methanol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Densities of simulated aqueous glycerol mixtures Oct 28, 2022 - ThermoML Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3113, DaRUS, V1 In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus" Sep 28, 2022 - Institute for Modelling and Simulation of Biomechanical Systems Saini, Harnoor, 2022, "User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"", https://doi.org/10.18419/darus-2229, DaRUS, V1 Background and Objective: Many biomedical, clinical, and industrial applications may benefit from musculoskeletal simulations. Three-dimensional macroscopic muscle models (3D models) can more accurately represent muscle architecture than their 1D (line-segment) counterparts. Neve...
Replication data for: "Ionothermal Synthesis of Imide‐Linked Covalent Organic Frameworks" Apr 1, 2022 - SFB 1333 A3 - Lotsch group, MPI-FKF Maschita, Johannes; Banerjee, Tanmay; Savasci, Gökcen; Haase, Frederik; Ochsenfeld, Christian; Lotsch, Bettina V., 2022, "Replication data for: "Ionothermal Synthesis of Imide‐Linked Covalent Organic Frameworks"", https://doi.org/10.18419/darus-1837, DaRUS, V1 Covalent organic frameworks (COFs) are an extensively studied class of porous materials, which distinguish themselves from other porous polymers in their crystallinity and high degree of modularity, enabling a wide range of applications. COFs are most commonly synthesized solvoth...
Coalescence of two nanoscopic argon droplets by molecular dynamics simulation Feb 4, 2022 - Subarea B6 Heinen, Matthias; Vrabec, Jadran, 2022, "Coalescence of two nanoscopic argon droplets by molecular dynamics simulation", https://doi.org/10.18419/darus-2434, DaRUS, V1, UNF:6:iT5PmPJDWlYYFAvkmpH6cQ== [fileUNF] Coalescence of argon droplets with a radius of R=25, 50 and 100 nm was studied with molecular dynamics simulation. The truncated and shifted Lennard-Jones (LJTS) potential was chosen for the intermolecular interactions. Surrounded by coexisting vapor, the droplets were first equi...

Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data

Jun 6, 2024 - Projects without PN Affiliation

Herkert, Robin, 2024, "Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data", https://doi.org/10.18419/darus-4227, DaRUS, V1

This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". In this paper we address the challenging application of 3D pore scale reactive flow under va...

Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics

May 29, 2024 - 3rd Physics Institute

Liu, Di, 2024, "Data for: The silicon vacancy centers in SiC: determination of intrinsic spin dynamics for integrated quantum photonics", https://doi.org/10.18419/darus-4226, DaRUS, V1, UNF:6:T9zmgDKrhoWAtKZh6Xavew== [fileUNF]

Datasets are for reproducing the measured data points and simulated/calculated theory curves in the figures depicted in the main text and supplement. The abbreviations in the datasets correspond to the figure captions in the journal version to be published. The respective subpane...

Percentile Intervals in Bayesian Inference are Overconfident

Mar 19, 2024 - Institute for Stochastics and Applications

Höpfl, Sebastian, 2024, "Percentile Intervals in Bayesian Inference are Overconfident", https://doi.org/10.18419/darus-4068, DaRUS, V1

This dataset demonstrates the difference in calculating percentile Intervals as approximation for Highest Density Intervals (HDI) vs. Highest Posterior Density (HPD). This is demonstrated with extended partial liver resection data (ZeLeR-study, ethical vote: 2018-1246-Material)....

Self-diffusion coefficients of simulated aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1

In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...

Densities of simulated aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3112, DaRUS, V1

Self-diffusion coefficients of simulated aqueous methanol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1

Densities of simulated aqueous glycerol mixtures

Oct 28, 2022 - ThermoML

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3113, DaRUS, V1

User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"

Sep 28, 2022 - Institute for Modelling and Simulation of Biomechanical Systems

Saini, Harnoor, 2022, "User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"", https://doi.org/10.18419/darus-2229, DaRUS, V1

Background and Objective: Many biomedical, clinical, and industrial applications may benefit from musculoskeletal simulations. Three-dimensional macroscopic muscle models (3D models) can more accurately represent muscle architecture than their 1D (line-segment) counterparts. Neve...

Replication data for: "Ionothermal Synthesis of Imide‐Linked Covalent Organic Frameworks"

Apr 1, 2022 - SFB 1333 A3 - Lotsch group, MPI-FKF

Maschita, Johannes; Banerjee, Tanmay; Savasci, Gökcen; Haase, Frederik; Ochsenfeld, Christian; Lotsch, Bettina V., 2022, "Replication data for: "Ionothermal Synthesis of Imide‐Linked Covalent Organic Frameworks"", https://doi.org/10.18419/darus-1837, DaRUS, V1

Covalent organic frameworks (COFs) are an extensively studied class of porous materials, which distinguish themselves from other porous polymers in their crystallinity and high degree of modularity, enabling a wide range of applications. COFs are most commonly synthesized solvoth...

Coalescence of two nanoscopic argon droplets by molecular dynamics simulation

Feb 4, 2022 - Subarea B6

Heinen, Matthias; Vrabec, Jadran, 2022, "Coalescence of two nanoscopic argon droplets by molecular dynamics simulation", https://doi.org/10.18419/darus-2434, DaRUS, V1, UNF:6:iT5PmPJDWlYYFAvkmpH6cQ== [fileUNF]

Coalescence of argon droplets with a radius of R=25, 50 and 100 nm was studied with molecular dynamics simulation. The truncated and shifted Lennard-Jones (LJTS) potential was chosen for the intermolecular interactions. Surrounded by coexisting vapor, the droplets were first equi...

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