Results 31 to 40 of about 303 (161)
IEEE Access, 2019 Due to the increasing uncertainty brought about by renewable energy, conventional deterministic dispatch approaches have not been very applicative. This paper investigates a nested sparse grid-based stochastic collocation method (NS-SCM) as a possible ...
Zhilin Lu +3 more
doaj +1 more source
Interdisciplinary Materials, EarlyView.Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley +1 more source
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2018 Compressive sensing is a powerful technique for recovering sparse solutions of underdetermined linear systems, which is often encountered in uncertainty quantification analysis of expensive and high-dimensional physical models. We perform numerical investigations employing several compressive sensing solvers that target the unconstrained LASSO ...
Xun Huan +6 more
openaire +2 more sources
BuildingsAccurate prediction and uncertainty quantification of tunnel water inflow are critical for construction safety, risk mitigation, and groundwater-control planning.
Jing Qian +3 more
doaj +1 more source
Molecular Friction Trumps Viscosity in Angstrofluidic Transport
Small, EarlyView.Single‐file transport through sub‐1 nm graphene nanopore and carbon nanotube is investigated using molecular dynamics and ergodic trajectory sampling. The study shows that confinement geometry and wall‐fluid interaction strength govern molecular mobility, allowing atomistic motion to be translated into a continuum‐based resistance coefficient for ...
Jaber Al Hossain +4 more
wiley +1 more source
Smolyak-Grid-Based Flutter Analysis with the Stochastic Aerodynamic Uncertainty
Discrete Dynamics in Nature and Society, 2014 How to estimate the stochastic aerodynamic parametric uncertainty on aeroelastic stability is studied in this current work. The aerodynamic uncertainty is more complicated than the structural one, and it takes more significant effect on the flutter ...
Yuting Dai, Chao Yang
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A Data‐Driven Closed‐Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight
Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.The study introduces a data‐driven framework combining dynamical systems reconstruction and closed‐loop control to analyze brain‐state transitions in remitted depression. Using fMRI data, we show that these individuals more easily enter but struggle to exit sad mood states, revealing altered connectivity and potential neuromodulation targets for ...
Niklas Emonds +8 more
wiley +1 more source
Stochastic 2D Incompressible Navier-Stokes Solver Using the Vorticity-Stream Function Formulation
Journal of Applied Mathematics, 2013 A two-dimensional stochastic solver for the incompressible Navier-Stokes equations is developed. The vorticity-stream function formulation is considered.
Mohamed A. El-Beltagy, Mohamed I. Wafa
doaj +1 more source
Risk Analysis, Volume 46, Issue 8, August 2026.ABSTRACT This study examines the impact of epistemic uncertainties on the seismic risk of a critical transport system, the Campania railway network, during the ongoing bradyseismic unrest at Campi Flegrei, south of Italy. Seismic risk is quantified as the length of the railway requiring post‐event inspection, an operational proxy for service disruption.
Raffaele De Risi +3 more
wiley +1 more source
工程科学学报In the context of power-system decarbonization and the rising share of distributed renewables, risk assessment for distribution networks faces two coupled difficulties: probabilistic power-flow models are expensive for online use, and high-dimensional ...
Yu HUANG +5 more
doaj +1 more source