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pro vyhledávání: '"Nair, Ashish S."'
The neural ordinary differential equation (ODE) framework has shown promise in developing accelerated surrogate models for complex systems described by partial differential equations (PDEs). In PDE-based systems, neural ODE strategies use a two-step
Externí odkaz:
http://arxiv.org/abs/2403.02224
The predictive accuracy of the Navier-Stokes equations is known to degrade at the limits of the continuum assumption, thereby necessitating expensive and often highly approximate solutions to the Boltzmann equation. While tractable in one spatial dim
Externí odkaz:
http://arxiv.org/abs/2303.12114
The predictive accuracy of the Navier-Stokes equations is known to degrade at the limits of the continuum assumption, thereby necessitating expensive and often highly approximate solutions to the Boltzmann equation. While tractable in one spatial dim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d252e9ef57c49c3f0a5c83a6ef355a4a
http://arxiv.org/abs/2303.12114
http://arxiv.org/abs/2303.12114
Akademický článek
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