SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems"
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171 to 180 of 239 Results
Fixed Field Text Data - 175.5 KB - MD5: cf7fa2de19aeeabdedb56a938b0a6e94
Objective-C Source Code - 3.3 KB - MD5: bf4928b059019e189158ea3fa79ea7cb
Plain Text - 2.6 KB - MD5: e9fd84168fe3d810182ef369e991c06d
README
Dec 16, 2022 - demoa
Wochner, Isabell; Schmitt, Syn, 2022, "MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks", https://doi.org/10.18419/DARUS-3268, DaRUS, V1
This code allows you reproduce the optimal control and model predictive control results of the paper: "Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks" by Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt and Daniel F.B. Haeufle. Always cite the paper together with this datase...
Gzip Archive - 227.9 MB - MD5: 89792d633142a824f2a9e151d84d1594
Code for model predictive control (MPC) and optimal control (OC) to control musculoskeletal models in demoa. Please read ReadMe to find a description how to reproduce the numerical experiments of the paper.
Markdown Text - 4.7 KB - MD5: 5cbff34b49a706365c6874dc64fb1239
This file describes how to use and install the necessary code. Please read it to find out how to reproduce the experiments from the paper.
Oct 28, 2022 - FAIR Fluids
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 experiment and simulation was demonstrated for two binary mixtures, methanol...
XML - 46.9 KB - MD5: 36b6a6a26016a3252612e095702f0f4d
Oct 28, 2022 - FAIR Fluids
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 experiment and simulation was demonstrated for two binary mixtures, methanol...
XML - 25.4 KB - MD5: e05ca93c7efe519df9e02cb2a752dff2
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