Results 81 to 90 of about 1,914,780 (311)

Reduced-Order Modelling for Production Optimisation

open access: yes, 2015
Production optimisation of a reservoir simulation problem can be very computationally demanding as the reservoir model may contain many variables and nonlinearities, thus many iterations may be needed to obtain an optimal production schedule.
Hewson, Chris, Hewson, C.W. (author)
core   +1 more source

An adaptive aeroelastic control approach using non linear reduced order models [PDF]

open access: yes, 2014
A systematic approach to the model order reduction of high fidelity coupled fluid/structure/flight dynamics models and the subsequent control design is described. It uses information on the eigenspectrum of the coupled-system Jacobian matrix and projects
Palacios, R.   +13 more
core   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

open access: yesFEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai   +4 more
wiley   +1 more source

Reduced-order modelling of vortex-induced vibration of catenary riser

open access: yes, 2009
A new reduced-order model capable of analyzing the vortex-induced vibration of catenary riser in the ocean current has been developed. This semi analytical-numerical approach is versatile and allows for a significant reduction in computational effort for
O' Brien, P.   +5 more
core   +1 more source

Ctene kinematics vs. reduced-order model approximation.

open access: yes, 2023
This video shows a side-to-side comparison of a ctenophore rowing and the reduced-order model approximation. (MP4)
Adrian Herrera-Amaya (17409977)   +1 more
core   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

open access: yesFEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas   +6 more
wiley   +1 more source

A Fractional-Order Model-Assisted Reduced-Order ADRC for Photoelectric Stabilized Platforms

open access: yesIEEE Access
To enhance the dynamic performance and disturbance rejection capability of photoelectric stabilized platforms, this study proposes a Fractional-Order Model-assisted Reduced-order Linear Active Disturbance Rejection Control (FO-MRLADRC) algorithm.
Guoyu Lin   +3 more
doaj   +1 more source

Reduced order models based on pod method for schrödinger equations

open access: yesMathematical Modelling and Analysis, 2013
Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė   +3 more
doaj   +1 more source

An orifice shape-based reduced order model of patient-specific mitral valve regurgitation

open access: yesEngineering Applications of Computational Fluid Mechanics, 2021
Mitral valve regurgitation (MR) is one of the most prevalent valvular heart diseases. Its quantitative assessment is challenging but crucial for treatment decisions.
J. Franz   +12 more
doaj   +1 more source

KROM: Kernelized Reduced Order Modeling

open access: yesCoRR
We propose KROM, a kernel-based reduced-order framework for fast solution of nonlinear partial differential equations. KROM formulates PDE solution as a minimum-norm (Gaussian-process) recovery problem in an RKHS, and accelerates the resulting kernel solves by sparsifying the precision matrix via sparse Cholesky factorization.
Aras Bacho, Jonghyeon Lee, Houman Owhadi
openaire   +2 more sources

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