Results 31 to 40 of about 12,528,126 (212)
Journal of Nuclear Engineering, 2023 The Monte Carlo neutron transport method is used to accurately estimate various quantities, such as k-eigenvalue and integral neutron flux. However, in the case of estimating a distribution of a desired quantity, the Monte Carlo method does not typically
Delgersaikhan Tuya, Yasunobu Nagaya
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Advanced Optical Materials, EarlyView.Linearly polarized incident light with normal incidence creates enhanced optical chirality hotspots on the metasurface. Several orders of magnitude optical chirality enhancement offers a promising route toward highly sensitive, compact chiral spectroscopy.
Anastasia Romashkina +10 more
wiley +1 more source
Effect of Approximations of the Discrete Adjoint on Gradient-Based Optimization [PDF]
, 2006 An exact discrete adjoint of an unstructured nite-volume solver for the RANS equations has been developed. The adjoint is exact in the sense of being based on the full linearization of all terms in the solver, including all turbulence model ...
Brezillon, Joel, Dwight, Richard
core
Aerodynamic Inverse Design Framework using Discrete Adjoint Method [PDF]
, 2013 The aerodynamic inverse design approach consists of finding the ge-ometry that produces a desired (target) pressure distribution. Such design problem is here solved using optimization strategies based on CFD solver to minimize the pressure residual.
Mohammad Abu-Zurayk +3 more
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Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Derivation of an adjoint consistent discontinuous Galerkin discretization of the compressible Euler equations [PDF]
, 2006 Adjoint consistency - in addition to consistency - is the key requirement for discontinuous Galerkin (DG) discretizations to be of optimal order in L2 as well as measured in terms of target functionals.
Hartmann, Ralf
core
Gradient-Based Aerodynamic Optimization of an Airfoil with Morphing Leading and Trailing Edges
Applied Sciences, 2021 This article presents a gradient-based aerodynamic optimization framework and investigates optimum deformations for a transonic airfoil equipped with morphing leading and trailing edges.
Zhenkai Zhang +4 more
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Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels
Advanced Science, EarlyView.Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You +15 more
wiley +1 more source
Aerodynamic Shape Optimization Using the Discrete Adjoint of the Navier-Stokes Equations: Applications Toward Complex 3D Configutations [PDF]
, 2009 Within the next few years, numerical shape optimization based on high fidelity methods is likely to play a strategic role in future aircraft design. In this context, suitable tools have to be developed for solving aerodynamic shape optimization problems,
Dwight, Richard P. +5 more
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Adjoint-based calibration of inlet boundary condition for atmospheric computational fluid dynamics solvers [PDF]
Wind Energy Science, 2019 A continuous adjoint solver is developed for calibration of the inlet velocity profile boundary condition (BC) for computational fluid dynamics (CFD) simulations of the neutral atmospheric boundary layer (ABL).
S. Akbarzadeh +4 more
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