11 to 20 of 35 Results
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... |
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... |
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... |
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... |
Jun 27, 2022PN 2
Neck movement and injury risks during a car crash are influenced by reflexes, strength, and flexibility. Data sets are provided containing in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. Tors... |
May 16, 2022PN 4
Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion) |
