Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

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21 to 30 of 20,637 Results

inputs_unnormed.zip Apr 20, 2026 - Step 1: Single Heat Plume ZIP Archive - 3.3 GB - MD5: a00de41a0f220d6fca3232a990f4ab10 Data
labels_unnormed.zip Apr 20, 2026 - Step 1: Single Heat Plume ZIP Archive - 20.5 GB - MD5: 31f8e67c53ce725cbbba3afc3a86fd07 Data
ba-thermal-plume-v1.0.0-code.zip Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics ZIP Archive - 51.4 KB - MD5: 8453de4985a61ead4a8d8270f79eddf8 Inference source code (release branch): Python package with CLI (ba-predict), MLP and random-weight network implementations, dataset configurations, sample inputs, Dockerfile, and installation files. No model weights included.
Clean_Results_Isotherm.csv Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics Tabular Data - 7.7 MB - 13 Variables, 85531 Observations - UNF:6:6k+73yoVIjlpTOs2PFnb6w== Isotherm dataset used for training of the models.
Depression_cones.csv Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics Tabular Data - 436.7 KB - 5 Variables, 12835 Observations - UNF:6:/zEueaz1Rf9v1RaAambp4g== Depression cones dataset used for training of the models.
mlp-cone.zip Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics ZIP Archive - 562.0 KB - MD5: e63261aaac394e7adda836657c4d3938 Pre-trained MLP model for depression cone prediction. 2-hidden-layer architecture (244 neurons, LeakyReLU), Optuna-tuned over 200 trials. Contains PyTorch weights (best_model.pt), input/output scalers, training diagnostics plots, power consumption logs, and evaluation metrics (KGE=0.993, nRMSE=0.015, R²=0.991).
mlp-isotherm.zip Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics ZIP Archive - 4.0 MB - MD5: e9c366ae9359a2497ff88bfe4fb53479 Pre-trained MLP model for isotherm geometry prediction (Area, Iso_distance, Iso_width). 5-hidden-layer architecture (256 neurons, GELU), Optuna-tuned over 200 trials. Contains PyTorch weights (best_model.pt), input/output scalers, training diagnostics plots, power consumption logs, and evaluation metrics (KGE=0.999, nRMSE=0.0002, R²≈1.0).
random-cone-edRVFL-SC.zip Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics ZIP Archive - 221.3 MB - MD5: 3dee8ba0e945a09faead07808d5aa91f Pre-trained edRVFL-SC random-weight network for depression cone prediction. 1000 hidden neurons, 3 layers, GELU activation, 10-member ensemble with dense stacking. Pareto frontier winner (accuracy vs. training time) from 558 configurations. Contains serialized model (model.pkl), scalers, power logs, and evaluation metrics (KGE=0.976, nRMSE=0.022, R...
random-isotherm-dRVFL-KGE.zip Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics ZIP Archive - 1.3 MB - MD5: 8209e3a4a7d12ec955eac25459018e4e Pre-trained dRVFL random-weight network for isotherm geometry prediction (Area, Iso_distance, Iso_width). 1500 hidden neurons, 1 layer, ELU activation. Best KGE model on the Pareto frontier from 558 configurations. Contains serialized model (model.pkl), scalers, test predictions, and power consumption logs.
random-isotherm-SResdRVFL-nRMSE.zip Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics ZIP Archive - 2.3 MB - MD5: d4b76c7128cbfd5260a11c97a3002f83 Pre-trained SResdRVFL random-weight network for isotherm geometry prediction (Area, Iso_distance, Iso_width). 1500 hidden neurons, 1 layer, GELU activation, 8 residual blocks with direct link. Best nRMSE model on the Pareto frontier from 558 configurations. Contains serialized model (model.pkl), scalers, test predictions, and power consumption logs...

inputs_unnormed.zip

Apr 20, 2026 - Step 1: Single Heat Plume

ZIP Archive - 3.3 GB -

Data

labels_unnormed.zip

Apr 20, 2026 - Step 1: Single Heat Plume

ZIP Archive - 20.5 GB -

Data

ba-thermal-plume-v1.0.0-code.zip

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

ZIP Archive - 51.4 KB -

Inference source code (release branch): Python package with CLI (ba-predict), MLP and random-weight network implementations, dataset configurations, sample inputs, Dockerfile, and installation files. No model weights included.

Clean_Results_Isotherm.csv

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

Tabular Data - 7.7 MB - 13 Variables, 85531 Observations -

Isotherm dataset used for training of the models.

Depression_cones.csv

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

Tabular Data - 436.7 KB - 5 Variables, 12835 Observations -

Depression cones dataset used for training of the models.

mlp-cone.zip

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

ZIP Archive - 562.0 KB -

Pre-trained MLP model for depression cone prediction. 2-hidden-layer architecture (244 neurons, LeakyReLU), Optuna-tuned over 200 trials. Contains PyTorch weights (best_model.pt), input/output scalers, training diagnostics plots, power consumption logs, and evaluation metrics (KGE=0.993, nRMSE=0.015, R²=0.991).

mlp-isotherm.zip

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

ZIP Archive - 4.0 MB -

Pre-trained MLP model for isotherm geometry prediction (Area, Iso_distance, Iso_width). 5-hidden-layer architecture (256 neurons, GELU), Optuna-tuned over 200 trials. Contains PyTorch weights (best_model.pt), input/output scalers, training diagnostics plots, power consumption logs, and evaluation metrics (KGE=0.999, nRMSE=0.0002, R²≈1.0).

random-cone-edRVFL-SC.zip

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

ZIP Archive - 221.3 MB -

Pre-trained edRVFL-SC random-weight network for depression cone prediction. 1000 hidden neurons, 3 layers, GELU activation, 10-member ensemble with dense stacking. Pareto frontier winner (accuracy vs. training time) from 558 configurations. Contains serialized model (model.pkl), scalers, power logs, and evaluation metrics (KGE=0.976, nRMSE=0.022, R...

random-isotherm-dRVFL-KGE.zip

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

ZIP Archive - 1.3 MB -

Pre-trained dRVFL random-weight network for isotherm geometry prediction (Area, Iso_distance, Iso_width). 1500 hidden neurons, 1 layer, ELU activation. Best KGE model on the Pareto frontier from 558 configurations. Contains serialized model (model.pkl), scalers, test predictions, and power consumption logs.

random-isotherm-SResdRVFL-nRMSE.zip

Apr 14, 2026 - Trained Neural Networks on Simulated Data of Groundwater Heat Plume Characteristics

ZIP Archive - 2.3 MB -

Pre-trained SResdRVFL random-weight network for isotherm geometry prediction (Area, Iso_distance, Iso_width). 1500 hidden neurons, 1 layer, GELU activation, 8 residual blocks with direct link. Best nRMSE model on the Pareto frontier from 558 configurations. Contains serialized model (model.pkl), scalers, test predictions, and power consumption logs...

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