Data · dataset · 2024
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
Listed in DaRUS
Prepared datasets and models for modeling orientational variation in heat plume prediction in groundwater.
Description
Models were trained with 1HP NN equivariance. File name explanation: 4d The (used) dataset encompasses only cardinal flow directions. rd The (used) dataset encompasses random flow directions in the 2D plane. 1000dp The (used) dataset consists of 1000 data points. 100dp The (used) dataset consists of 100 data points. pksi The input data fields: liquid pressure, permeability, position of the heat pump, and normalized distance to the heat pump.
BaselineCNN The model is trained without any modification to architecture/training procedure. DataAugmentation The model is trained using data augmentation where rotated variations of the original data were added to the training data. OrientedBoxes For this model, during both training and inference, the input data is aligned to a chosen orientation.
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ECNN The model uses the Equivariant Convolutional Neural Network (ECNN) architecture.
Links
Where it is published
- Dataverse dataset page darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi%3A10.18419%2FDARUS-4530 ↗
landing page · from darus uni stuttgart de
- DOI doi.org/10.18419/darus-4530 ↗
DOI / persistent id · from darus uni stuttgart de
Catalogue records · 1
- Dataverse API darus.uni-stuttgart.de/api/datasets/:persistentId/?persistentId=doi%3A10.18419%2FDARU… ↗
metadata API · from darus uni stuttgart de
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
- Inferred from text
- Geophysics 70%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DaRUS | doi:10.18419/DARUS-4530 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3706 | enrichment · darus uni stuttgart de | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| created_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| description | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /description |
| publication_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| title | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /name |
| updated_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| version_label | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 |