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Code for statesim - a python package to simulate dynamical systems from ordin...
Python package for simulating ordinary differential equations in state space form. See README.md for details. -
Models and Prepared Datasets for 3D-CNN - First Stage
Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw... -
Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a
This dataset contains the proposed sphingolipid rheostat model with mass-action kinetics and a proposed negative feedback from ceramide to its synthesis from Sphinganine. The... -
Supplementary material for 'Probing Self-Diffusion of Guest Molecules in a Co...
This dataset contains input files and results from Grand Canonical Monte Carlo (GCMC) adsorption simulation and Molecular Dynamics (MD) Simulation. All data is presented in a... -
Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling a...
This dataset includes the system matrices in velocity formulation and a parallel coordinates plot of the sensitivity analysis from the paper titled "Port-Hamiltonian... -
Replication Data for: Radial basis function interpolation with partition of u...
The dataset provides the PyRBF python code to perform partition of unity radial basis function interpolation. This includes all meshes in VTK format and a post processing folder... -
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... -
Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similar...
We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the... -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for...
Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab Basic instructions for installing and running the... -
Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points
These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They... -
Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points
This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is... -
Replication Data for: Rayleigh invariance allows the estimation of effective ...
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective... -
Models and Prepared Datasets for 3D-CNN - First Stage
Models trained with Heat Plume Prediction 3D and datasets prepared with Heat Plume Prediction 3D into reasonable format, normalization used to train these models. Based on raw... -
Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points
These data sets serve as training data for modelling the temperature field emanating from a groundwater heat pump. They are simulated with Pflotran and saved in h5 format. They... -
Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points
This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is... -
Replication Data for: Rayleigh invariance allows the estimation of effective ...
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective... -
Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a
This dataset contains the proposed sphingolipid rheostat model with mass-action kinetics and a proposed negative feedback from ceramide to its synthesis from Sphinganine. The... -
Supplementary material for 'Probing Self-Diffusion of Guest Molecules in a Co...
This dataset contains input files and results from Grand Canonical Monte Carlo (GCMC) adsorption simulation and Molecular Dynamics (MD) Simulation. All data is presented in a... -
Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling a...
This dataset includes the system matrices in velocity formulation and a parallel coordinates plot of the sensitivity analysis from the paper titled "Port-Hamiltonian... -
Replication Data for: Radial basis function interpolation with partition of u...
The dataset provides the PyRBF python code to perform partition of unity radial basis function interpolation. This includes all meshes in VTK format and a post processing folder...
