Results 161 to 170 of about 720 (188)

Surrogate model-based multi-objective Bayesian optimisation of porous acoustic barriers. [PDF]

Eng Comput
Liravi H, Bécot FX, Kaewunruen S, Ninić J.   +3 more
europepmc   +1 more source

Accelerated computation for 2D isogeometric acoustic model with ground reflection by integrating Taylor expansion and deep neural network. [PDF]

Sci Prog
Gao J, Ma H, Miao D, Yao R, Zhang Y.
europepmc   +1 more source

Hysteresis in cavitation emissions during a ramped-then-deramped amplitude sonication: A theoretical and experimental investigation. [PDF]

Nonlinear Dyn
Zhang Y, Li S, Prentice P, Cammarano A.
europepmc   +1 more source

Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]

Front Artif Intell
Nyangon J.
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Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination. [PDF]

Sci Rep
Agata R, Shiraishi K, Fujie G.
europepmc   +1 more source

Physics-informed neural network simulation of thermal cavity flow. [PDF]

Sci Rep
Fowler E, McDevitt CJ, Roy S.
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Employing variance component estimation for point cloud based geometric surface representation by B-splines. [PDF]

J Appl Geod
Ötsch E, Harmening C, Neuner H.
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Computational analysis of a class of singular nonlinear fractional multi-order heat conduction model of the human head. [PDF]

Sci Rep
Izadi M, Atangana A.
europepmc   +1 more source

Investigating the use of physics informed neural networks for dam-break scenarios. [PDF]

PLoS One
Mumtaz K, Nadeem MW, Khan A, Lakdawala Z.   +3 more
europepmc   +1 more source

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A Stochastic Collocation Algorithm with Multifidelity Models

SIAM Journal on Scientific Computing, 2014
We present a numerical method for utilizing stochastic models with differing fideli- ties to approximate parameterized functions. A representative case is where a high-fidelity and a low-fidelity model are available. The low-fidelity model represents a coarse and rather crude ap- proximation to the underlying physical system.
Akil Narayan 0001, Claude Jeffrey Gittelson, Dongbin Xiu   +2 more
openaire   +1 more source