… experimentation and high-fidelity modelling. In this review, we summarize the state of the
art of these two powerful tools: in-situ synchrotron experimentation and high-fidelity modelling, …

… description, it is necessary to have in place a complete machine tool data model that describes
the overall machine tool components, kinematics, controllers, machine capabilities, etc. …

… Note that if a model is considered to have lower or higher fidelity, it can only be determined
… Modern tools like PyTorch Lightning have emerged to simplify the processing, training and …

… new models and methods. This review surveys the most common schemes available to model
the … out high-fidelity LES of wind farms under various atmospheric and terrain conditions. …

… high-fidelity aircraft simulation model that is exceptionally capable, flexible and responsive to
the needs of the researchers. The proposed model … simulation model” as a powerful tool for …

… based on surrogate models and on variable fidelity models. The … -fidelity approach, AMF aims
to minimize the use of high-… two models of f that can be used as analysis tools: a simple low-…

… Approximation models are built for high-fidelity metrics for rotor efficiency and vibration. …
higher fidelity tools into the design process is to combine the results of low- and high-fidelity …

… PILR models, presented above, are aimed to get grey-box models from black-box model
tools, … to get a grey-box model, but from the White-Box model tools (ie high-fidelity simulators). …

… Compared to lower fidelity numerical tools, CNWTs have the advantage of capturing all
relevant hydrodynamic non-linearities, such as large surface deformation, viscous drag or …

… presented: fast-running analytical models as pre-design tools, and numerical methods to …
or a cascade response for high-speed turbomachines. Overall, analytical models are shown to …