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Tracer-diffusion coefficients of experimental aqueous methanol mixtures
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... -
Densities of experimental aqueous glycerol mixtures
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... -
Densities of experimental aqueous methanol mixtures
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... -
Self-diffusion coefficients of simulated aqueous glycerol mixtures
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... -
Self-diffusion coefficients of simulated aqueous methanol mixtures
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... -
Densities of simulated aqueous glycerol mixtures
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... -
Densities of simulated aqueous methanol mixtures
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... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Code for: Solution approaches for evaporation-driven density instabilities in...
This dataset concerns codes and solution approaches for a case of evaporation-driven density instabilities from a porous slab that is bounded vertically. Two solution approaches... -
Source Code for: Flow in Porous Media with Fractures of Varying Aperture
Python source code to replicate the results in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication,... -
allmin: A Reduced Human All-Body Model
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... -
Code for: Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
This data set contains code used to generate figures and tables in our paper "Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent". The code is also available... -
arm26: A Human Arm Model
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... -
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator
This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to... -
WENO Library for OpenFOAM
Weighted essentially non-oscillatory library for the framework of OpenFOAM. Detailed information can also be found here: https://github.com/WENO-OF/WENOEXT -
Replication Data for: The Method of Forced Probabilities: a Computation Trick...
This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian... -
gspine: A Human Spine Model Built Using Literature Data
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... -
Replication Data for: A mass-conserving sparse grid combination technique wit...
Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The... -
Replication Data for: "Scaling the Plasma Simulation while Conserving the Mas...
Data to replicate the run times for comparing different combination technique basis functions' performance. To be presented at the poster session at PASC 2022. The data... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to...
