Results 81 to 90 of about 13,481 (226)
Finite pseudo orbit expansions for spectral quantities of quantum graphs
We investigate spectral quantities of quantum graphs by expanding them as sums over pseudo orbits, sets of periodic orbits. Only a finite collection of pseudo orbits which are irreducible and where the total number of bonds is less than or equal to the ...
Berkolaiko G +24 more
core +1 more source
Schematic illustration of the development, optimization, and therapeutic evaluation of the Leucas aspera phytosome‐based thermogel for topical antipsoriatic therapy, highlighting its enhanced solubility, skin deposition, and in vivo efficacy in an imiquimod‐induced psoriasis model. Created with BioRender.com.
Ananda Kumar Chettupalli +2 more
wiley +1 more source
ABSTRACT Optimising turbine layouts to maximise power output is crucial for wind farm development, particularly in complex terrain where analytical wake models fail to capture key flow physics. We present the first application of Bayesian optimisation (BO) combined with large eddy simulations (LES) for utility‐scale wind farm layout optimisation in ...
Christian Jané‐Ippel +2 more
wiley +1 more source
Analysis of inductive power transfer systems by metamodeling techniques
This paper presents some metamodeling techniques to analyze the variability of the performances of an inductive power transfer (IPT) system, considering the sources of uncertainty (misalignment between the coils, the variation in air gap, and the ...
Pei, Yao +3 more
doaj +1 more source
Uncertainty quantification (UQ) [PDF]
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the Makedonia Palace Hotel, Thessaloniki in Greece.
3rd Micro and Nano Flows Conference (MNF2011) +1 more
core
Bayesian Adaptive Polynomial Chaos Expansions
Polynomial chaos expansions (PCE) are widely used for uncertainty quantification (UQ) tasks, particularly in the applied mathematics community. However, PCE has received comparatively less attention in the statistics literature, and fully Bayesian formulations remain rare, especially with implementations in R.
Rumsey, Kellin N. +4 more
openaire +2 more sources
Abstract The NASA Atmospheric Waves Experiment (AWE) employs an OH imager that began measurements aboard the International Space Station (ISS) on 22 November 2023. The motivation for AWE was to quantify gravity wave (GW) responses to diverse sources and their influences extending into the mesosphere and higher altitudes.
David C. Fritts +7 more
wiley +1 more source
Efficient Deconvolution in Populational Inverse Problems
ABSTRACT This work is focused on the inversion task of inferring the distribution over parameters of interest, leading to multiple sets of observations. The potential to solve such distributional inversion problems is driven by the increasing availability of data, but a major roadblock is blind deconvolution, arising when the observational noise ...
Arnaud Vadeboncoeur +2 more
wiley +1 more source
Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold [PDF]
Valentina Bazyleva +2 more
openalex +1 more source
Polynomial Chaos Expansion of a Multimodal Random Vector [PDF]
A methodology and algorithms are proposed for constructing the polynomial chaos expansion (PCE) of multimodal random vectors. An algorithm is developed for generating independent realizations of any multimodal multivariate probability measure that is constructed from a set of independent realizations using the Gaussian kernel-density estimation method.
openaire +2 more sources

