Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

11 to 20 of 96 Results

Selhuber-Unkel group Dataverse(Universität Heidelberg) Nov 17, 2025GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications Dataverse of the Selhuber-Unkel group in the GRK 2948.
Steeb group Dataverse(Universität Stuttgart) Nov 17, 2025GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications Dataverse of the Steeb group in the GRK 2948.
PN 5-2 (II)(Universität Stuttgart) Sep 15, 2025PN 5 Fully-implicit local dynamic model adaptivity with machine-learned scale bridging
Zaumseil group Dataverse(Universität Heidelberg) Sep 11, 2025GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications Dataverse of the Zaumseil group in the GRK 2948.
GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications(Universität Heidelberg) Sep 10, 2025Projects without PN Affiliation The research training group “Mixed Ionic-Electronic Transport: From Fundamentals to Applications” (GRK 2948) explores how ions and electrons interact with each other in organic, hybrid and nanoscale materials.
Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart) Jun 26, 2025Surrogate models for groundwater flow simulations Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures
PN 6-8 (II)(Universität Stuttgart) Mar 28, 2025PN 6 Spatiotemporal ensembles often result from physical simulations. These ensembles contain many information-rich members, each corresponding to different simulation input parameters. The extensive data size makes manual analysis infeasible, necessitating automated approaches to assist the analysis. In the preceding project (PN 6-8 (I)), methods and t...
PN 5-13(Universität Stuttgart) Mar 4, 2025PN 5 Solvers for hybrid modelling in porous media
PN 3-15(Universität Stuttgart) Jan 10, 2025PN 3 Bottom-up modeling of conducting porous materials via molecular simulation
PN 3A-8(Universität Stuttgart) Dec 17, 2024PN 3 SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"

Selhuber-Unkel group Dataverse(Universität Heidelberg)

Nov 17, 2025GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications

Dataverse of the Selhuber-Unkel group in the GRK 2948.

Steeb group Dataverse(Universität Stuttgart)

Nov 17, 2025GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications

Dataverse of the Steeb group in the GRK 2948.

PN 5-2 (II)(Universität Stuttgart)

Sep 15, 2025PN 5

Fully-implicit local dynamic model adaptivity with machine-learned scale bridging

Zaumseil group Dataverse(Universität Heidelberg)

Sep 11, 2025GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications

Dataverse of the Zaumseil group in the GRK 2948.

GRK 2948: Mixed Ionic-Electronic Transport: From Fundamentals to Applications(Universität Heidelberg)

Sep 10, 2025Projects without PN Affiliation

The research training group “Mixed Ionic-Electronic Transport: From Fundamentals to Applications” (GRK 2948) explores how ions and electrons interact with each other in organic, hybrid and nanoscale materials.

Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport(Universität Stuttgart)

Jun 26, 2025Surrogate models for groundwater flow simulations

Raw and prepared datasets and trained models for the publication "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport", including randomized and real permeability fields, on different domain sizes (12.8kmx12.8km and double the size for scaling tests); DDUNet- and LGCNN architectures

PN 6-8 (II)(Universität Stuttgart)

Mar 28, 2025PN 6

Spatiotemporal ensembles often result from physical simulations. These ensembles contain many information-rich members, each corresponding to different simulation input parameters. The extensive data size makes manual analysis infeasible, necessitating automated approaches to assist the analysis. In the preceding project (PN 6-8 (I)), methods and t...

PN 5-13(Universität Stuttgart)

Mar 4, 2025PN 5

Solvers for hybrid modelling in porous media

PN 3-15(Universität Stuttgart)

Jan 10, 2025PN 3

Bottom-up modeling of conducting porous materials via molecular simulation

PN 3A-8(Universität Stuttgart)

Dec 17, 2024PN 3

SimTech PN 3A-8: "Certified Coupled Model Order Reduction (CCMOR)"

Add Data

Share Dataverse

Link Dataverse

Reset Modifications