Results 121 to 130 of about 3,408 (247)
Drivers of 2023–2024 Atmospheric CO2 Growth: Role of Northern Mid‐to‐High Latitude Land Carbon Cycle
Abstract The global atmospheric CO2 growth rate in 2023–2024 reached an unprecedented level, exceeding all records since modern monitoring began. Using a CO2 flux inversion, constrained by column‐averaged CO2 observations from Greenhouse gases Observing SATellite (GOSAT), we investigated spatio‐temporal drivers of this anomaly.
Suman Maity +4 more
wiley +1 more source
A discrete Navier-Stokes adjoint method for aerodynamic optimisation of BlendedWing-Body configurations [PDF]
An aerodynamic shape optimisation capability based on a discrete adjoint solver for Navier- Stokes flows is developed and applied to a Blended Wing-Body future transport aircraft.
Le Moigne, Alan
core
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu +5 more
wiley +1 more source
In this paper, we present a void topology identification analysis in structures based on the level-set-based topology optimization using a weighted sensitivity method.
Takahiko KURAHASHI +3 more
doaj +1 more source
Fourier Expansion‐Based Approach to the Parameter Space of Classical Systems
ABSTRACT We propose a new approach to compute the classical metric tensor (CMT) and the Hannay curvature using Fourier series expansions in action‐angle variables. This approach circumvents the need for complex time‐domain integrals or the construction of generating functions, replacing them with algebraic combinations of Fourier coefficients. We prove
Marcos J. Hernández +3 more
wiley +1 more source
ABSTRACT Purpose To develop a denoising technique for displacement encoding with stimulated echoes (DENSE) MRI that improves spatial resolution, efficiency, and accuracy, and enhances accessibility by implementing DENSE MRI at 0.55 T. Methods We developed a low‐rank denoising technique, which leverages multidimensional spiral cine DENSE MRI data for ...
Shu‐Fu Shih +9 more
wiley +1 more source
Feasible adjoint sensitivity technique for EM design optimization [PDF]
The adjoint variable method for frequency domain design sensitivity analysis is proposed for the optimization of wire and printed structures analyzed by the Method of Moments (MoM).
Mohamed H. Bakr +3 more
core
ABSTRACT Physics‐based design optimization workflows thread the needle between computational cost limitations and simulation complexity, often compromising between modeling detail and the range of operating design conditions. Multipoint aerostructural optimization of wind turbine rotors has so far been confined to low‐fidelity analyses or to high ...
Marco Mangano +5 more
wiley +1 more source
SWOT Observations Constrain a 4D‐Var State Estimate of the California Current System
Abstract The Surface Water and Ocean Topography (SWOT) mission provides high‐resolution sea surface height (SSH) observations at 2‐km spacing, resolving submesoscale features typical of ageostrophic motions and associated with instabilities. Here, we demonstrate the assimilation of SWOT data into a regional configuration of the MITgcm for the ...
A. Verdy +4 more
wiley +1 more source
Abstract The incorporation of appropriate dynamic constraints in data assimilation (DA) is highly important for improving the forecasting of disastrous weather. It is often challenging to describe subgrid physical processes with strong nonlinearity and discontinuity in dynamic constraints because of difficulties in tangent linear and adjoint ...
Xin Li +6 more
wiley +1 more source

