← Search

Data · dataset · 2025

Trained Models on Real Permeability Fields, 4+1 Data Points

Listed in DaRUS

Models are trained with Heat Plume Prediction on 4 data points (dp).

Description

Steps 1 and 3 of LGCNN (Local Global Convolutional Neural Network) are separate, step 2 is a numerical solver that does not require any trained model. For inference follow the guidelines of Heat Plume Prediction and applied all 3 steps/models sequentially to your input data.

Based on raw data from doi.org/10.18419/darus-5065.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 70%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-508212 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4611enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0