101 to 110 of 46,483 Results
Dec 20, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures", https://doi.org/10.18419/DARUS-4313, DaRUS, V2
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to perform pseudo-3D Stokes simulations with a geometry-informed drag term using DuMux and to determine permeability, volumetric flux as well as local pressure and velocity fields f... |
Dec 20, 2024 -
Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures
Gzip Archive - 110.2 KB -
MD5: 9184f049d4cee0af1e10ea48529bf0f3
localdrag python module |
Dec 20, 2024 -
Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures
Gzip Archive - 2.3 MB -
MD5: 04abee75c9fb1dca64cdaa9b68cf28f8
Pseudo3D_Stokes DuMux submodule |
Dec 19, 2024Analytic Computing
Project Website: https://www.ki.uni-stuttgart.de/departments/ac/research/projects/Kr-building/ |
Dec 19, 2024 - Modelling
Spindler, Jan; Giakissiklis, Christina; Stierle, Catharina; Buschlüter, Marc; Liebeton, Klaus; Siemann-Herzberg, Martin; Takors, Ralf, 2024, "Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences", https://doi.org/10.18419/DARUS-4628, DaRUS, V1
The DaRUS repository entails and supplements the simulation data, MATLAB model and graphics for the publication: "Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences" |
Dec 19, 2024 -
Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences
Plain Text - 560 B -
MD5: bbd8064eeb4281aeef2b5aee767e0953
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Dec 19, 2024 -
Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences
MATLAB Source Code - 2.7 KB -
MD5: ad0de1b8638fc09a40582a3832a22398
Helper script to MAIN scripts. |
Dec 19, 2024 -
Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences
Fixed Field Text Data - 472 B -
MD5: 70c961fa3e5beba17308d54572ffb454
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Dec 19, 2024 -
Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences
MATLAB Source Code - 4.2 KB -
MD5: ed2ea91495d19f89ddef5908d4ac743d
Helper script to MAIN scripts. |
Dec 19, 2024 -
Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences
Fixed Field Text Data - 712 B -
MD5: e05f78d406e21c4f05160bfc19c25b87
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