Theme 3 - Errors, Unicertainty & Resource Limitations | International Conference on Data-Integrated Simulation Science

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Buntic, Ivan

Data-driven optimisation algorithms for local dynamic model adaptivity

Dmytriyeva, Olga

Construction of composite difference schemes with a given order of accuracy

Fink, Daniel

Robustness of quantum algorithms against coherent control errors

Fleck, Maximilian

Transferable Force Fields and Transport Properties

Holicki, Tobias

Data-Based Refinements of Parametric Uncertainty Descriptions

Höpfl, Sebastian (presented by Nicole Radde)

FAIR Bayesian Optimal Experimental Design in Systems Biology

Huber, Felix

Bayesian Optimization of Simulation Components

Ibach, Mathias

Direct Numerical Simulations of In-Air Droplet Interactions

König, Oliver

Uncertainty Quantification for data-limited Inverse Problems via efficient probabilistic ML methods

Lautenschlager, Robin

Investigation of Bayesian Inversion methods for an electrophysiological skeletal muscle model

Meißner, Julia

Selection optimization for solvers of simulations

Möller, Matthias

Computational Steering: Interactive Design-through-Analysis for Simulation Sciences

Mujahid, Abdullah

Higher-Order Semi-Explicit Time Integration Methods for Poroelasticity Problems

Nikolaou, Konstantin

Random Network Distillation as data selection method

Pauli, Patricia

Lipschitz-bounded convolutional neural networks

Ramgraber, Maximilian

Triangular map adaptation enables efficient nonlinear data assimilation

Reinauer, Alexander

Modelling electrokinetic two-phase flows applicable to porous media

Reiser, Philipp

Quantifying Uncertainty in Surrogate-based Bayesian Inference

Riethmüller, Cedric

Solvers for Hybrid Modelling in Porous Media - Design, Implementation, Analysis

Ruprecht, Daniel

Combining numerical methods and machine learning

Scholz, Maximilian

Prediction Can Be Safely Used as a Proxy for Explanation in Causally Consistent Bayesian Generalized Linear Models

Strässer, Robin

Koopman-based Data-Driven Control of Nonlinear Systems

Strauss, Anika

Combination of data-based model reduction and reanalysis to accelerate structural analysis

Suffa, Philipp

Generated domain-specific sparse data kernels for high-performance Lattice Boltzmann Methods

Wolf, Sebastian

Parallel uncertainty quantification with fused simulations

Wurst, Jonathan

Direct Numerical Simulation of Drop Impact with Contact Angle Hysteresis

Theme 3 - Errors, Unicertainty & Resource Limitations

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