Results 11 to 20 of about 692,439 (328)
Fluid Dynamics in Physics, Engineering and Environmental Applications [PDF]
Jaime Klapp+3 more
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Relativistic Fluid Dynamics: Physics for Many Different Scales [PDF]
AbstractThe relativistic fluid is a highly successful model used to describe the dynamics of many-particle systems moving at high velocities and/or in strong gravity. It takes as input physics from microscopic scales and yields as output predictions of bulk, macroscopic motion.
Nils Andersson, G. L. Comer
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The Physics of Fluid Dynamics Applied to Vascular Ulcers and Its Impact on Nursing Care [PDF]
The high incidence of vascular ulcers and the difficulties encountered in their healing process require the understanding of their multiple etiologies to develop effective strategies focused on providing different treatment options. This work provides a description of the principles of the physics of fluid dynamics related to vascular ulcers.
José Miguel Robles‐Romero+5 more
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Current and emerging deep-learning methods for the simulation of fluid dynamics
Over the last decade, deep learning (DL), a branch of machine learning, has experienced rapid progress. Powerful tools for tasks that have been traditionally complex to automate have been developed, such as image synthesis and natural language processing.
Mario Lino+3 more
semanticscholar +1 more source
Modern Fluid Dynamics for Physics and Astrophysics [PDF]
Giuseppe Lodato
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Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics
The simulation of fluid dynamics, typically by numerically solving partial differential equations, is an essential tool in many areas of science and engineering.
Mario Lino+3 more
semanticscholar +1 more source
Applications of large deviation theory in geophysical fluid dynamics and climate science [PDF]
The climate is a complex, chaotic system with many degrees of freedom. Attaining a deeper level of understanding of climate dynamics is an urgent scientific challenge, given the evolving climate crisis.
V. Gálfi+3 more
semanticscholar +1 more source
Learning Vortex Dynamics for Fluid Inference and Prediction [PDF]
We propose a novel differentiable vortex particle (DVP) method to infer and predict fluid dynamics from a single video. Lying at its core is a particle-based latent space to encapsulate the hidden, Lagrangian vortical evolution underpinning the ...
Yitong Deng+3 more
semanticscholar +1 more source
4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics [PDF]
4D flow magnetic resonance imaging (MRI) is an emerging imaging technique where spatiotemporal 3D blood velocity can be captured with full volumetric coverage in a single non-invasive examination.
E. Ferdian+6 more
semanticscholar +1 more source
The World Health Organization has declared COVID-19 a global pandemic. Several countries have experienced repeated periods of major spreading over the last two years. Many people have lost their lives, employment, and the socioeconomic situation has been
Pallavi Katre+3 more
semanticscholar +1 more source