PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Schulte, Miriam"

Author of the publication

copydeleteadd this publication to your clipboard
Coupled Simulation and Parameter Inversion for Neural System and Electrophysiological Muscle Models

, , , , , , , and . GAMM-Mitteilungen, (March 2024)
DOI: 10.1002/gamm.202370009

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Univ. -Prof. Dr. Miriam Schulte University of Stuttgart

Miriam Wagner

Miriam Specht University of Stuttgart

Alexander Schulte University of Stuttgart

Miriam Schäffer University of Stuttgart

 

Other publications of authors with the same name

Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points, and . Dataset, (2023)preCICE v2 : A sustainable and user-friendly coupling library, , , , , , , , , and 10 other author(s). Open research Europe, (2022)REG-30 model to replicate simulation results for the GEO.KW project, and . Software, (2022)Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model, , , , and . Software, (2024)Related to: Carme Homs-Pons, David Schneider, Frederic Simonis, Miriam Schulte, and Benjamin Uekermann. “Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model” (in review).Datasets: First Stage 3D Simulation - Raw, 100 and 1000 Data Points, and . Dataset, (2024)Related to: Johanna Trick. "Erweiterung eines Convolutional Neural Network auf 3D zur Modellierung von Grundwasserwärmepumpen". Bachelor Thesis (2024). (unpublished).Datasets: 100 Heat Pumps, Simulation - Raw, 3+1 Data Points : 3 large simulations and 1 simulation four times as large as the others for testing scalability, and . Dataset, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Scalable Machine Learning Approach for Heat Transport in Groundwater". In proceedings of 23rd International Conference of Machine Learning and Applications (2024). In progress.Trained Models on Real Permeability Fields, 4+1 Data Points, and . Dataset, (2025)Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted.Predicting Heat Plume Temperature and Spatial Location Using Quantum Convolutional Neural Networks, , and . 2025 International Conference on Quantum Communications, Networking, and Computing (QCNC), page 623-627. IEEE, (2025)Models and Prepared Datasets for the Second Stage, and . Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.Bridging Scales with Volume Coupling --- Scalable Simulations of Muscle Contraction and Electromyography, , , and . High Performance Computing in Science and Engineering '21: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021, (2021)