Results 91 to 100 of about 3,408 (247)

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley   +1 more source

Structural sensitivity analysis of flexible multibody systems modeled with the floating frame of reference approach using the adjoint variable method [PDF]

, 2016
For the efficient analysis and optimization of flexible multibody systems, gradient information is often required. Next to simple and easy-to-implement finite difference approaches, analytical methods, such as the adjoint variable method, have been ...
Seifried, Robert, Knüfer, Sven, Held, Alexander   +2 more
core  

Multi-objective shape optimization for maximizing stiffness in thermo-elastic fields

Nihon Kikai Gakkai ronbunshu, 2016
This paper presents a numerical solution to multi-objective shape optimization in order to achieve stiffness maximization in thermoelastic fields. Compliance evaluated by thermal deformation based on temperature distribution and by mechanical deformation
Eiji KATAMINE, Yuto ARAI
doaj   +1 more source

The Empirical Bayes Variational Autoencoder-A Neural ODE Approach for Population Modeling in Pharmacology. [PDF]

CPT Pharmacometrics Syst Pharmacol
ABSTRACT Variational autoencoders (VAEs) combined with neural ordinary differential equations provide a flexible framework for exploring neural latent‐variable models in population pharmacokinetics. In this work, we investigate an empirical Bayes VAE formulation that integrates encoder–decoder architectures with covariate‐dependent population priors ...
Baaz M, Sjöberg A, Jirstrand M.
europepmc   +2 more sources

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

Fast eikonal phase retrieval for high‐throughput beamlines

Journal of Synchrotron Radiation, EarlyView.
Fast eikonal phase retrieval with complementary local (sub‐pixel) and non‐local (multi‐pixel) solvers strongly suppresses nonlinear streak artefacts in long‐distance propagation‐based phase‐contrast micro‐tomography at high computational efficiency.A fast eikonal phase retrieval formulation is introduced that accelerates eikonal phase retrieval by more
Alessandro Mirone, Theresa Urban, Joseph Brunet, Claire L. Walsh, Peter D. Lee, Paul Tafforeau   +5 more
wiley   +1 more source

Numerical studies on a proposed stepwise binarization method for the topology optimization analysis of the sloshing control problem

Journal of Fluid Science and Technology
In this study, the effect of the proposed binarization method on the topology optimization analysis of two-fluid flows with free surfaces was investigated.
Masaya KOBAYASHI, Takahiko KURAHASHI
doaj   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

The first application of a numerically exact, higher-order sensitivity analysis approach for atmospheric modelling: implementation of the hyperdual-step method in the Community Multiscale Air Quality Model (CMAQ) version 5.3.2 [PDF]

Geoscientific Model Development
Sensitivity analysis in chemical transport models quantifies the response of output variables to changes in input parameters. This information is valuable for researchers engaged in data assimilation and model development.
J. Liu, E. Chen, S. L. Capps
doaj   +1 more source

Survey on differential estimators for 3d point clouds

Computer Graphics Forum, EarlyView.
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger, Thibault Lejemble, David Coeurjolly, Loïc Barthe, Nicolas Mellado   +4 more
wiley   +1 more source