Results 41 to 50 of about 5,322 (250)
The adjoint method is a very promising gradient-based optimisation framework for computational fluid dynamics (CFD), because of its independence of the computation cost from the number of design variables.
Mirza Popovac
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Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels
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
Adjoint Optimization Method for Head Shape of High- Speed Maglev Train
The head shape of a high-speed maglev train was optimized in this study, based on the adjoint method, and the aerodynamic drag of four optimized train models were simulated and compared using different control point generation methods.
H. C. Li, Z. M. Yang, L. Zhang, R. Li
doaj
Adjoint based state estimation of compressible flow in porous media
In this paper, we study the state estimation of compressible single phase flow in compressible porous media. The initial pressure distribution is estimated according to discrete adjoint approach based on the collected well pressure data.
Yanbin Sun, Zhibin Liu, Yanjie Hu
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Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Recent advancements in machine learning have led to the development of sophisticated algorithms for automatic differentiation. These software tools simplify the implementation of the adjoint method by automating the derivation of adjoint equations ...
Kota Shiozawa +4 more
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Development of Discrete Adjoint Approach Based on the Lattice Boltzmann Method
The purpose of this research is to present a general procedure with low implementation cost to develop the discrete adjoint approach for solving optimization problems based on the LB method.
Mohamad Hamed Hekmat, Masoud Mirzaei
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This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
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A method to optimize the topology of hard as well as soft magnetic structures is implemented using the density approach for topology optimization. The stray field computation is performed by a hybrid finite element–boundary element method.
Gregor Wautischer +4 more
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Optimization of Air Cooling System Using Adjoint Solver Technique
Air cooling systems are currently the most popular and least expensive solutions to maintain a safe temperature in electronic devices. Heat sinks have been widely used in this area, allowing for an increase in the effective heat transfer surface area ...
Grzegorz Czerwiński, Jerzy Wołoszyn
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