-
QoI - Droplets
This dataset consists of a database of droplets extracted from high resolution shadowgraphy images in technical sprays. The database is one subclass utilised in the generation... -
Nuisance - OOFObjs
This dataset contains the database of Out Of Focus Objects (OOFObjs) - currently mostly droplet and used droplet sizing in shadowgraphy analysed sprays. The database is one... -
Code for training and using the soot (instance) segmentation models
This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the... -
Nuisance - OOPObjs
This dataset contains the database of Out Of Plane Objects (OOPObjs) extracted from PIV (Mie scattering) measurements within an RQL-type combustors. The database is one... -
Background - Tracer particle regions
This dataset contains the database of image snippets of PIV tracer particles (i.e. Mie scattering) in the background extracted from sooting flame measurements within an RQL-type... -
QoI - Tracer particles
This dataset contains the database of image snippets of dense clusters of PIV tracer particles (i.e. Mie scattering) marking the reactants within sooting flame measurements in... -
QoI - Soot filaments
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements. The database is one subclass utilised in the generation of synthetic... -
Data for: Machine learning potentials for hydrogen absorption in TiCr2 Laves ...
This dataset supports the development and validation of machine learning interatomic potentials (MLIPs) for modeling hydrogen absorption in C14 (hexagonal) and C15 (cubic)... -
Trained Models on Real Permeability Fields, 4+1 Data Points
Models are trained with Heat Plume Prediction on 4 data points (dp). Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical... -
Trained Vanilla Models on Synthetic Permeability Fields, 101 Data Points
Models are trained with [git: DDUNet] on 101 data points (dp). Both, vanilla UNet and DDU-Net, can be applied directly end-to-end. For inference follow the guidelines of Heat... -
Trained Models on Synthetic Permeability Fields, 3+1 Data Points
Models are trained with Heat Plume Prediction. Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not... -
Datasets: 100 Heat Pumps + Real Permeability Fields, Simulation - Raw, 4 + 1 ...
This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated... -
Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 1...
This data set serves as training and testing data for modelling the temperature field emanating from open loop groundwater heat pumps (100, randomly placed). It is simulated... -
Code for using and training spray segmentation models
This dataset contains the necessary code for using our spray segmentation model used in the paper, ML-based semantic segmentation for quantitative spray atomization description.... -
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... -
Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
Raw datasets for modeling orientational variation in heat plume prediction in groundwater. Used with 1HP NN equivariance. File name explanation: 4d The dataset encompasses... -
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with vary...
Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater. Models were trained with 1HP NN equivariance. File name explanation:... -
Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps
Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file... -
Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLS...
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset...
