Results 51 to 60 of about 5,359,566 (332)
On universal approximation and error bounds for Fourier Neural Operators [PDF]
Journal of machine learning research, 2021 Fourier neural operators (FNOs) have recently been proposed as an effective framework for learning operators that map between infinite-dimensional spaces. We prove that FNOs are universal, in the sense that they can approximate any continuous operator to
N. Kovachki +2 more
semanticscholar +1 more source
Inversion for Geofluid Discrimination Based on Poroelasticity and AVO Inversion
Geofluids, 2019 Geofluid discrimination plays an important role in reservoir characterization and prospect identification. Compared with other fluid indicators, the effective pore-fluid bulk modulus is more sensitive to the property of fluid contained in reservoirs.
Lingqian Wang +5 more
doaj +1 more source
A thin rivulet of perfectly wetting fluid subject to a longitudinal surface shear stress [PDF]
, 2008 The lubrication approximation is used to obtain a complete description of the steady unidirectional flow of a thin rivulet of perfectly wetting fluid on an inclined substrate subject to a prescribed uniform longitudinal surface shear stress.
Duffy, B.R. +2 more
core +3 more sources
On the Holographic Bound in Newtonian Cosmology
Entropy, 2018 The holographic principle sets an upper bound on the total (Boltzmann) entropy content of the Universe at around 10 123 k B ( k B being Boltzmann’s constant).
José M. Isidro +1 more
doaj +1 more source
Wave focusing by submerged islands and gravitational analogues
Physical Review Research, 2022 We study water waves propagating over a smooth obstacle in a fluid of varying depth, motivated by the observation that submerged islands in the ocean act as effective lenses that increase the amplitude and destructive power of tsunami waves near focal ...
Theo Torres +3 more
doaj +1 more source
Fluid flow approximation of PEPA models [PDF]
Second International Conference on the Quantitative Evaluation of Systems (QEST'05), 2005 In this paper we present a novel performance analysis technique for large scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of analysing via continuous time Markov chains, our underlying mathematical representation is a set of coupled ordinary differential equations (ODEs).
openaire +1 more source
Switched networks with maximum weight policies: Fluid approximation and multiplicative state space collapse [PDF]
arXiv.org, 2010 We consider a queueing network in which there are constraints on which queues may be served simultaneously; such networks may be used to model input-queued switches and wireless networks. The scheduling policy for such a network specifies which queues to
Devavrat Shah, D. Wischik
semanticscholar +1 more source
Massive neutrinos in cosmology: Analytic solutions and fluid approximation [PDF]
, 2010 We study the evolution of linear density fluctuations of free-streaming massive neutrinos at redshift of z < 1000, with an explicit justification on the use of a fluid approximation. We solve the collisionless Boltzmann equation in an Einstein de-Sitter (
M. Shoji, E. Komatsu
semanticscholar +1 more source
Blade coating analysis of a Williamson fluid
Results in Physics, 2017 In this article, a mathematical model of a blade coating analysis of the thin film of a Williamson fluid is developed when it passes through the small gap between a blade and a moving substrate.
A.M. Siddiqui +3 more
doaj +1 more source
Bottom Multi-Parameter Bayesian Inversion Based on an Acoustic Backscattering Model
Journal of Marine Science and EngineeringThe geoacoustic and physical properties of the bottom, as well as spatial distribution, are crucial factors in analyzing the underwater acoustic field structure and establishing a geoacoustic model.
Yi Zheng +6 more
doaj +1 more source