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preCICE Distribution Version v2404.0
Jun 3, 2024 - Usability and Sustainability of Simulation Software
Chen, Jun; Chourdakis, Gerasimos; Desai, Ishaan; Homs-Pons, Carme; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Davis, Kyle; Jaust, Alexander; Kelm, Mathis; Kotarsky, Niklas; Kschidock, Helena; Mishra, Durganshu; Mühlhäußer, Markus; Schrader, Timo Pierre; Schulte, Miriam; Seitz, Valentin; Signorelli, Joseph; van Zwieten, Gertjan; Vinnitchenko, Niklas; Vladimirova, Tina; Willeke, Leonard; Zonta, Elia, 2024, "preCICE Distribution Version v2404.0", https://doi.org/10.18419/darus-4167, DaRUS, V1
The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi...
Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles
Apr 23, 2024 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Buntkiel, Lukas; Rautenbach, Ryan; Gaugler, Lena; Ma, Yifan; Haase, Ingrid; Fitschen, Jürgen; Wucherpfennig, Thomas; Reinecke, Sebastian; Hoffmann, Marko; Takors, Ralf; Hampel, Uwe; Schlüter, Michael, 2024, "Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles", https://doi.org/10.18419/darus-3768, DaRUS, V1
The DaRUS repository entails the raw files, result files and the MATLAB codes for the publication "Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles" in the journal "Chemical Engineering Research and Design". This study employs La...
Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials
Apr 11, 2024 - Holm group
Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/darus-4099, DaRUS, V1
Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with...
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