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11 to 20 of 46 Results
PN 1-3 (II)(Universität Stuttgart)
Jul 18, 2023PN 1
SimTech Project PN 1-3 (II) "Influence of Anisotropy and Permeability on Turbulent Pumping by Highly Space and Time-resolved Measurements"
PN 1-1 (II)(Universität Stuttgart)
Jul 18, 2023PN 1
SimTech Project PN 1-1 (II) "Data-driven closures for turbulent free and porous media flows"
PN 1-2B(Universität Stuttgart)
Jun 21, 2023PN 1
In this project, the Direct Numerical Simulations (DNS) software FS3D is developed further and employed for parameter studies on multi-phase flow. Modelling approaches for multi-phase interaction processes applicable for the prediction of lager systems are sought with the obtaine...
PN 5-1(Universität Stuttgart)
Jun 16, 2023PN 5
SimTech Project PN 5-1 "Optimal multidimensional accuracy-resource trade-off"
PN 3-10(Universität Stuttgart)
Jun 12, 2023PN 3
We aim to use first-principles calculations at finite temperatures in combination with machine learning (ML) techniques to derive an accurate picture of hydrogen embrittlement in Ni-based superalloys. The ML-based interatomic potential will allow for the determination of the temp...
BLinK(Universität Stuttgart)
Jun 7, 2023Membranes
Container for the BLinK project
Membranes(Universität Stuttgart)
Jun 7, 2023PN 1-8
Dataverse containig material on lipid membranes and surfaces interactions
Data and Code for: Meta-Uncertainty in Bayesian Model Comparison(Universität Stuttgart)
May 17, 2023PN 6
Meta-Uncertainty represents a fully probabilistic framework for quantifying the uncertainty over Bayesian posterior model probabilities (PMPs) using meta-models. Meta-models integrate simulated and observed data into a predictive distribution for new PMPs and help reduce overconf...
PN 3-11(Universität Stuttgart)
Feb 28, 2023PN 3
Biological Molecular Dynamics Simulations
PN 3-8(Universität Stuttgart)
Jul 5, 2022PN 3
Use of physically-based surrogate models to accelerate the optimization of classical force fields and development of new reduced order models for transport properties based on entropy scaling. Machine-learned models for transport properties will be developed with an increasing da...
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