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Jose et al. MLST 2025 - Code, Data and Models
This dataset hosts the code, data and models needed for replication of the work mentioned in Jose et al. MLST 2025. In the paper, an ablation study is conducted to delineate the... -
QoI - Droplets
This dataset consists of a database of regular and distorted droplets with droplet clusters extracted from high-resolution shadowgraphy images in technical sprays. It serves... -
Nuisance - OOFObjs
This dataset contains the database of Out Of Focus Objects (OOFObjs)—currently mostly droplets and used for droplet sizing in shadowgraphy analysed sprays. The database... -
Nuisance - OOPObjs
This dataset contains the database of Out Of Plane Objects (OOPObjs) extracted from PIV (Mie scattering) measurements within an RQL-type combustor. 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... -
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... -
QoI - Soot filaments
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements, CFD simulations and generative models. The database is one subclass... -
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... -
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...
