Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
-
, fatigue, corrosion, and biofouling ) of subsea structures. Derive limit state functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and
-
to demonstrate electrically injected nanobeam lasers that use sub-wavelength light confinement to enhance light–matter interactions. The goal is to achieve low laser thresholds together with high efficiency and
-
competent users of neutron facilities. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST
-
by a collaboration partner Perform a comprehensive CFD-based sensitivity study to reliably assess the impacts of key sub-models (e.g., green fuel combustion mechanisms, radiative heat transfer
-
. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
-
functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and uncertainty analysis to uncover the most significant variables in the derived limit states
-
decision-making. A main challenge is finding ways to link AI-driven creativity with clear environmental performance feedback early in the design process. This phase is characterized by high uncertainty in
-
-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic-resolution
-
they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is part of CreCon