Stochastic optimization of three‐dimensional non‐Cartesian sampling trajectory
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29645
Abstract: Optimizing three‐dimensional (3D) k‐space sampling trajectories is important for efficient MRI yet presents a challenging computational problem. This work proposes a generalized framework for optimizing 3D non‐Cartesian sampling patterns via data‐driven optimization. read more here.
Keywords: optimization three; cartesian sampling; three dimensional; stochastic optimization ... See more keywords
Design optimization of a three-dimensional diffusing S-duct using a modified SST turbulent model
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DOI: 10.1016/j.ast.2016.12.016
Abstract: This paper examines design optimization of a three-dimensional diffusing S-duct using a modified k–ω shear stress transport (SST) turbulent model as a turbulence prediction method. According to based-Reynolds-stress and based-separation ideas, a robust solution procedure… read more here.
Keywords: design; design optimization; model; duct ... See more keywords