Results 201 to 210 of about 3,614,941 (409)

An Observation of the Trapped Lee Waves Using Fengyun‐4 Satellite Images and a U‐Net Network

Geophysical Research Letters
Propagating in the lower troposphere, the trapped lee waves (TLWs) generate severe turbulence over a large area in the afternoon and thus have a significant impact on aviation safety and atmospheric environment.
Ao Xu, Haile Xue, Ronghua Wu, Qiying Chen   +3 more
doaj   +1 more source

The future of biomolecular simulation in the pharmaceutical industry: what we can learn from aerodynamics modelling and weather prediction. Part 1. understanding the physical and computational complexity of in silico drug design. [PDF]

Acta Crystallogr D Struct Biol, 2021
Edwards T, Foloppe N, Harris SA, Wells G.   +3 more
europepmc   +1 more source

Free Oscillations of a Discrete Stratified Fluid with Application to Numerical Weather Prediction [PDF]

, 1972
Robert E. Dickinson, David Williamson
openalex   +1 more source

Application of Markov chain theory to ASTP natural environment launch criteria at Kennedy Space Center [PDF]

To aid the planning of the Apollo Soyuz Test Program (ASTP), certain natural environment statistical relationships are presented, based on Markov theory and empirical counts.
Graves, M. E., Perlmutter, M.
core   +1 more source

Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion

Advanced Sustainable Systems, EarlyView.
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar, Parmod Kumar, Kuljeet Singh Grewal   +2 more
wiley   +1 more source

Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction [PDF]

arXiv
Although deep learning models have demonstrated remarkable potential in weather prediction, most of them overlook either the \textbf{physics} of the underlying weather evolution or the \textbf{topology} of the Earth's surface. In light of these disadvantages, we develop PASSAT, a novel Physics-ASSisted And Topology-informed deep learning model for ...
arxiv  

HYDRODYNAMICS OF THE ATMOSPHERE AND NUMERICAL WEATHER PREDICTION—A SYNTHESIS

, 1959
J. G. Charney
openalex   +1 more source

An Examination of Frontal Structure in a Fine–Primitive Equation Model for Numerical Weather Prediction [PDF]

, 1978
Daniel Keyser, Melvyn A. Shapiro, Donald J. Perkey   +2 more
openalex   +1 more source

Exploration of Half‐Cycle Length of Converging Circular Wavy Duct with Diverging‐Outlet: Turbulent Water Dynamics

Advanced Theory and Simulations, EarlyView.
Increasing half‐cycles intensifies turbulence due to enhanced vortex interactions and flow separation at the diverged‐outlets. Longer wavy ducts are shown to increase flow acceleration, resulting in greater output velocities and more turbulent‐kinetic‐energy production. Wave‐period plays a crucial role in determining turbulent intensity, with amplitude
I. L. Animasaun, Taseer Muhammad, Se‐Jin Yook   +2 more
wiley   +1 more source

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation

Advanced Theory and Simulations, EarlyView.
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley   +1 more source