1 to 9 of 9 Results
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 an... |
Schmitt, Syn, 2022, "demoa-base: a biophysics simulator for muscle-driven motion", https://doi.org/10.18419/darus-2550, DaRUS, V4
For more information, such as installation, requirements and user guide, please see the demoa-manual.pdf |
Oct 6, 2022 - demoa
Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/darus-2814, DaRUS, V3
A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulation using a simple biological motor control model. The file... |
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 prepar... |
Oct 6, 2022 - demoa
Walter, Johannes R.; Wochner, Isabell; Jacob, Marc; Stollenmaier, Katrin; Lerge, Patrick; Schmitt, Syn, 2022, "allmin: A Reduced Human All-Body Model", https://doi.org/10.18419/darus-2982, DaRUS, V2
A reduced all-body model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This allmin model consists of a musculoskeletal model of the human body with 20 degrees of freedom actuated by 36 muscles. T... |
Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and... |
Fleck, Maximilian; Markthaler, Daniel; Stankiewicz, Bartosz; Hansen, Niels, 2022, "Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction'", https://doi.org/10.18419/darus-2132, DaRUS, V1, UNF:6:8wyFNcxoOTcKA+4ZpSWLAg== [fileUNF]
Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction' containing files to (re-)execute GROMACS simulations performed during the mutation study. This dataset contains simulation input files in GROMACS format accompanying the mention... |
Apr 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Kessler, Christopher; Schuldt, Robin; Emmerling, Sebastian; Lotsch, Bettina; Kästner, Johannes; Gross, Joachim; Hansen, Niels, 2022, "Supplementary material for 'Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study'", https://doi.org/10.18419/darus-2308, DaRUS, V1, UNF:6:ifmtNZEZHi+MkSvB5rd1dw== [fileUNF]
This dataset contains results from Grand Canonical Monte Carlo (GCMC) Simulation (data/isotherms_sim/) and experiment (data/isotherms/exp). All Data is presented in a jupyter notebook and for a fast overview without executing the notebook also as pdf-file. Furthermore the dataset... |
