… This technique retains the typical way in which aerodynamic vehicles are defined, and
provides … The predicted times of each of these tasks are derived using experimentally obtained …

… For the baseline geometry of the DrivAerML dataset, we adopt the specific test case from
the 2nd to 4th Automotive CFD Prediction (“AutoCFD”) workshops3, to benefit from and build …

… is not only a need for accurate aerodynamic prediction algorithms, but also for design methods
… This technique retains the typical way in which aerodynamic vehicles are defined, and …

… in three dimensions on distributed and shared memory architectures. The approach uses
adaptively refined Cartesian hexahedra to fill the computational domain. Where these cells …

… applications, such as weather forecast, automotive design, energy production and …
through shared memory. Parts of global memory can be read with lower memory latency by …

… A generic vehicle model-the DrivAer car, developed at the Technical University of Munich
(… meshing technology to predict complex aerodynamic phenomenon around the car. The …

… on a variety of shared memory or distributed memory parallel … prediction of axial force
coeffcient is due to error in predicting … , 15], for hypersonic reentry vehicle ablation prediction [16]. …

… The aerodynamic optimization process of cars requires … This study evaluates if deep learning
models can predict the … for one particular vehicle model gathered during the exterior shape …

… scale distributed-shared memory performance … prediction and design optimization of
airplanes, automobiles, and submarines. An artificially coarse example of a FUN3D domain exterior …

… of modelling tyre nonlinearities in the prediction model. The second chapter presents a …
adding constraints based on an external nonlinear tyre or vehicle model to ensure stability. …