PN 2

SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems"

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321 to 330 of 368 Results

exp_sdiff_meth.xml Oct 28, 2022 - Tracer-diffusion coefficients of experimental aqueous methanol mixtures XML - 19.2 KB - MD5: e3cae84bc552c768e71be21577722379
Self-diffusion coefficients of experimental aqueous glycerol mixtures Oct 28, 2022 - FAIR Fluids Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of experimental aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3119, 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 experiment and simulation was demonstrated for two binary mixtures, methanol...
exp_sdiff_glyc.xml Oct 28, 2022 - Self-diffusion coefficients of experimental aqueous glycerol mixtures XML - 9.5 KB - MD5: 3472ab6185ad0969d20647869667b525
Viscosities of experimental aqueous methanol mixtures Oct 28, 2022 - FAIR Fluids Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous methanol mixtures", https://doi.org/10.18419/DARUS-3120, 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 experiment and simulation was demonstrated for two binary mixtures, methanol...
exp_visc_meth.xml Oct 28, 2022 - Viscosities of experimental aqueous methanol mixtures XML - 36.3 KB - MD5: d31e79fc334010b781ae0a930433e4a8
Viscosities of experimental aqueous glycerol mixtures Oct 28, 2022 - FAIR Fluids Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3121, 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 experiment and simulation was demonstrated for two binary mixtures, methanol...
exp_visc_glyc.xml Oct 28, 2022 - Viscosities of experimental aqueous glycerol mixtures XML - 102.7 KB - MD5: a4108b374f9a54edc6396a2efc2691a2
Densities of simulated aqueous glycerol mixtures Oct 28, 2022 - FAIR Fluids 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 experiment and simulation was demonstrated for two binary mixtures, methanol...
sim_dens_glyc.xml Oct 28, 2022 - Densities of simulated aqueous glycerol mixtures XML - 32.9 KB - MD5: c87b7b19bcb5f9c3c7259f3fdde8a727
arm26: A Human Arm Model Oct 6, 2022 - demoa Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/DARUS-2871, DaRUS, V2 An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepared to run muscle-driven simulation using a simple biological motor con...

exp_sdiff_meth.xml

Oct 28, 2022 - Tracer-diffusion coefficients of experimental aqueous methanol mixtures

XML - 19.2 KB -

Self-diffusion coefficients of experimental aqueous glycerol mixtures

Oct 28, 2022 - FAIR Fluids

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of experimental aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3119, 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 experiment and simulation was demonstrated for two binary mixtures, methanol...

exp_sdiff_glyc.xml

Oct 28, 2022 - Self-diffusion coefficients of experimental aqueous glycerol mixtures

XML - 9.5 KB -

Viscosities of experimental aqueous methanol mixtures

Oct 28, 2022 - FAIR Fluids

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous methanol mixtures", https://doi.org/10.18419/DARUS-3120, DaRUS, V1

exp_visc_meth.xml

Oct 28, 2022 - Viscosities of experimental aqueous methanol mixtures

XML - 36.3 KB -

Viscosities of experimental aqueous glycerol mixtures

Oct 28, 2022 - FAIR Fluids

Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3121, DaRUS, V1

exp_visc_glyc.xml

Oct 28, 2022 - Viscosities of experimental aqueous glycerol mixtures

XML - 102.7 KB -

Densities of simulated aqueous glycerol mixtures

Oct 28, 2022 - FAIR Fluids

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

sim_dens_glyc.xml

Oct 28, 2022 - Densities of simulated aqueous glycerol mixtures

XML - 32.9 KB -

arm26: A Human Arm Model

Oct 6, 2022 - demoa

Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/DARUS-2871, DaRUS, V2

An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepared to run muscle-driven simulation using a simple biological motor con...

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