Neil W. Bressloff

TL;DR: The adoption of CFD modelling signals a new era in cardiovascular medicine and a number of academic and commercial groups are addressing the associated methodological, regulatory, education- and service-related challenges.

TL;DR: This paper reviews how the kriging interpolation can be modified to filter out numerical noise and shows how to adjust the estimate of the error in a kriged prediction so that previous approaches to optimization, such as the method of maximizing the expected improvement, continue to work effectively.

TL;DR: Methods for improving efficiency through the use of partially converged computational fluid dynamics results allow surrogate models to be built in a fraction of the time required for models based on converged results.

TL;DR: An optimization benchmarking procedure is introduced and used to assess the performance of five different tuning strategies over a range of problem sizes, demonstrating the performance gains that can be associated with reducing the complexity of the hyperparameter tuning process for complicated design problems.

TL;DR: Pressure can be predicted with consistency by CFD across a wide range of solvers and solution strategies, but this may not hold true for specific flow patterns or derived quantities.