Theme 2 - Experiments, Data, Learning & Modelling | International Conference on Data-Integrated Simulation Science

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Abu-Farah,Laila

Modelling of heat transfer and phase change for non-isothermal compressible two-phase flows using OpenFOAM integrated with machine learning.

Ackermann, Sina

A simulation approach for the cooling effect of leaves

Adhav, Prasad

6-way CFD-DEM-FEM partitioned momentum coupling using preCICE

Alvarez Chaves, Manuel

UNITE: A toolbox for unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory

Arsenijevic, Aleksandar

Gaussian Process Techniques for Differential Equations

Chaumet, Aidan

Efficient wPINN-Approximations to Entropy Solutions of Hyperbolic Conservation Laws

Conti, Paolo

Reduced order modeling of parametrized systems through variational autoencoders and system identification

Datar, Chinmay

Unraveling topology of Dynamic Neural Networks

Ehring, Tobias

Structure-preserving Model Order Reduction for Large-scale Hamiltonian Systems from Model Predictive Control

Fuhrmann, Tobias

Influence of Anisotropy and Permeability on Turbulent Pumping by Highly Space and Time-resolved Measurements

Gaimann, Mario

Reservoir Computing using Active Matter Model Systems: A Physics Viewpoint

Gose, Thomas

Smart Filter Element Development - Applied Machine Learning for Optimzed Element Layouts

Haag, Claudius

Surrogate Modeling of Micro-Structural Instabilities of Magnetorheological Elastomers

Herkert, Robin

Dictionary-based Online-adaptive Structure-preserving Model Order Reduction for Parametric Hamiltonian Systems

Horn, Philipp

A Generalized Framework of Neural Networks for Hamiltonian Systems

Ikeda, Yuji

Ab initio simulations of Laves-phase high-entropy alloys for hydrogen storage

Jose, Basil

Training computer vision models without labelled data using physics informed domain randomisation

Karadimitriou, Nikolaos

Image-based morphological characterization of multiphase flow in porous media

Kässinger, Johannes & David Rosin, Xingyao Yu

PerSiVal: Biomechanical Pervasive On-Body Visualization Using Mobile Devices

Keim, Leon

Coupled flow, transport, and geochemical processes in fractures/fissures with a focus on geothermal and karstic systems

Klingel, Viviane

A hybrid population model enables the study of single-cell heterogeneity in an epigenetic memory system

Klötzer, Fabian

Developing a data-integrated simulation framework to predict responsiveness to targeted cancer therapeutics

Kneifl, Jonas

Environment-aware Surrogate Models for Operation on Weak Mobile Hardware in the Field of Passenger Safety

Köhler, Matthias

Data-driven distributed MPC of dynamically coupled linear systems

Kolin, Sofia

Nanoseparation of Solvent Mixtures induced by Diffusion in Mesoporous Carbon Materials

Kraus, Hamzeh

Artificial Intelligence for Adaptive, Responsive, and Level-Compliant Interaction in the Vehicle of the Future (KARLI)

Lips, Luis

Applying UnfoldSim.jl, a new simulation toolbox for event-related time series, to show power advantages of the linear mixed model

Manucci, Mattia

Model Order Reduction in Contour Integral Methods for parametric PDEs

Martin, Tim

Data-driven control of nonlinear systems with guarantees using polynomial interpolation

Millard, Matthew

Whiplash simulation requires an accurate model of actively lengthened muscle

Munz-Körner, Tanja

Visual-Explainable AI: The Use Case of Language Models

Narouie, Vahab

A Sampling-free Statistical Finite Element Method in Computational Mechanics

Nicodemus, Jonas

Energy Matching in Reduced Passive and Port-Hamiltonian Systems

Pelzer, Julia

Comparison of Groundwater Modeling Approaches including Groundwater Heat Pumps

Rau, Tobias

Interactive AR Visualization of Molecular Simulation Data

Rettberg, Johannes

Low-Dimensional Identification of Port-Hamiltonian Systems by Combining Model Order Reduction and Machine Learning

Rosenberger, Henrik

Model reduction with latent variables for discretely filtered equations

Ruf, Matthias

Mechanical and hydro-mechanical in situ micro X-ray computed tomography investigations at the PML

Schlor, Sebastian

Koopman interpretation and analysis of public-key cryptosystems

Schnee, Philipp

Characterization of the Substrate Specificity of Protein Methyltransferases - Methods and Applications

Skukies, René

Non-Linear modelling of EEG event durations: A simulation approach

Spera, Marcelle

Viscosity of glyceline-water mixtures investigated by molecular dynamics simulations

Sriram, Siddharth

Data-driven surrogate modeling of structural instabilities in dielectric elastomers

Teh, Tiong Wei

Pore Topology and Surface Design for Energy Storage Applications

Thannheimer, Max

Bayesian inference for functional extreme events defined via partially unobserved processes

Tovey, Samuel

Towards a Phenomenological Understanding of Neural Networks

Veyskarami, Maziar

Formation, growth and detachment of multiple droplets at the free flow–porous medium interface

Vosse, Lukas

Comprehensive Data for Modelling of architectural-informed and activation-driven contractions of the human M. tibialis anterior

Wagner, Vincent

Eulerian Parameter Inference: Opportunities and Challenges in Preparing a Method for the Harsh Reality

Weeber, Rudolf

Simulation of Soft Magnetic Polymer Composites

Wildt, Nils & Scheurer, Stefania

Learning uncertain PFAS mechanisms with Finite Volume Neural Network (FINN)

William, Chad C. & Weinhardt, Daniel & Wirzberger, Maria & Musslick, Sebastian

Enhancing EEG Classification Performance through Generative Adversarial Networks: Investigating the Impact of Sample Sizes and Classifier Selection

Wu, Hanchuan

An efficient and robust fully implicit pore-network model for the pore-scale simulation

Xylander, Espen

Data-Driven Approaches to Viscous Fluid Dynamics

Zech, Lukas

Reinforcement learning based optimization of turbulence closures for wall-bounded flows

Zenn, Wiebke

Simulation of backlash on rack-and-pinion axes for condition monitoring purposes

Theme 2 - Experiments, Data, Learning & Modelling

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