Results 71 to 80 of about 12,528,126 (212)

An efficient methodology to analyze plasma edge model parameter sensitivities

Nuclear Materials and Energy, 2017
Quantifying uncertainties on code outputs is an important step for code-based design and scenario development. Because of the high computational cost of plasma edge transport simulations, the propagation of uncertainties on input parameters quickly ...
Maarten Blommaert, Detlev Reiter, Martine Baelmans   +2 more
doaj   +1 more source

Fast Reconstruction of Motion‐Corrupted Data With Mobile‐GRAPPA: Motion and δB0$$ \delta {B}_0 $$ Inhomogeneity Correction Leveraging Efficient GRAPPA

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an accurate and computationally efficient motion‐corrected MRI reconstruction framework that incorporates hundreds to thousands of motion and δB0$$ \delta {B}_0 $$ estimates from high‐temporal‐resolution tracking. Methods We propose Mobile‐GRAPPA, a k‐space preprocessing approach that uses MLP‐parameterized local GRAPPA ...
Yimeng Lin, Nan Wang, Daniel Abraham, Daniel Polak, Xiaozhi Cao, Aizada Nurdinova, Stephen Cauley, Kawin Setsompop   +7 more
wiley   +1 more source

Use of discrete sensitivity analysis to transform explicit simulation codes into design optimization codes

Electronic Journal of Differential Equations, 2000
Sensitivity analysis is often used in high fidelity numerical optimization to estimate design space derivatives efficiently. Typically, explicit codes are combined with the adjoint formulation of continuous sensitivity analysis, which requires the ...
Clarence O. E. Burg
doaj  

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath, Peng Shi, Ramesh K. Agarwal   +2 more
wiley   +1 more source

Shape Optimization Using the Aero-structural Coupled Adjoint Approach for Viscous Flows [PDF]

, 2011
The aero-structural coupled adjoint approach here is an efficient approach to compute the gradients of the aerodynamic coefficients obtained from coupled fluid-structure simulations.
Brezillon, Joel, Abu-Zurayk, Mohammad
core  

An adjoint for likelihood maximization

, 2009
The process of likelihood maximization can be found in many different areas of computational modelling. However, the construction of such models via likelihood maximization requires the solution of a difficult multi-modal optimization problem involving ...
Bressloff, Neil W., Andy J. Keane, Keane, Andy J., Holden, Carren, Alexander I J Forrester, Neil W Bressloff, Carren Holden, Forrester, Alexander I.J., Toal, David J.J.   +8 more
core   +1 more source

Adjoint-based optimization method for aerodynamic-stealth of aircraft considering the scattering characteristics of absorbing materials

Kongqi donglixue xuebao
With the continuous advancement of radar detection and counter-detection technologies, relying solely on stealth shaping can hardly meet the stealth performance requirements of advanced aircraft in a wide electromagnetic frequency domain.
Weifeng Sun, Zhenghong Gao, Ke Zhao, Yiran Gu   +3 more
doaj   +1 more source

Adapting computational optimization concepts from aeronautics to nuclear fusion reactor design

EPJ Web of Conferences, 2012
Even on the most powerful supercomputers available today, computational nuclear fusion reactor divertor design is extremely CPU demanding, not least due to the large number of design variables and the hybrid micro-macro character of the flows. Therefore,
Baelmans M., Reiter D., Dekeyser W.
doaj   +1 more source

Impact of Weak‐Constraint Four‐Dimensional Variational data assimilation on the prediction of a sudden stratospheric warming event in 2024

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Weak‐Constraint Four‐Dimensional Variational (WC‐4DVAR) system markedly improved the analysis and forecasting of the 2024 sudden stratospheric warming (SSW) event. It reduced biases and enhanced 7–9 day predictions of temperature across the SSW life cycle, with the most pronounced gains for winds also during the critical onset period.
Shaoying Li, Weimin Zhang, Shuo Ma, Bainian Liu, Yanlai Zhao, Xiaoqun Cao   +5 more
wiley   +1 more source

A continuous adjoint for photo-acoustic tomography of the brain [PDF]

, 2018
We present an optimisation framework for photo-acoustic tomography of the brain based on a system of coupled equations that describe the propagation of sound waves in linear isotropic inhomogeneous and lossy elastic media with absorption and physical ...
Javaherian, A, Holman, S
core   +2 more sources