Results 61 to 70 of about 1,606 (214)
Applied Sciences, 2023 We perform a stochastic sensitivity analysis of the experimental setup of a mock circulatory loop for in vitro hemodynamics analysis in the ascending thoracic aorta at a patient-specific level.
Alessandro Mariotti +6 more
doaj +1 more source
Epistemic and aleatoric uncertainty quantification in weather and climate models
Quarterly Journal of the Royal Meteorological Society, EarlyView.Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield +1 more
wiley +1 more source
Probability’s uncertainty in stochastic dynamical control systems
RUDN Journal of Engineering Research, 2014 This study applies generalized polynomial chaos theory to dynamic systems with uncertainties.
K A Pupkov, E A Smetanina
doaj
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
Communications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
Development of hp-inverse model by using generalized polynomial chaos
, 2018 We present a hp-inverse model to estimate a smooth, non-negative source function from a limited number of observations for a two-dimensional linear source inversion problem. A standard least-square inverse model is formulated by using a set of Gaussian radial basis functions (GRBF) on a rectangular mesh system with a uniform grid space.
Yeo, Kyongmin +3 more
openaire +3 more sources
Stochastic Optimization of Photonic Circuits by Combined Generalized Polynomial Chaos Model
, 2016 We propose a sparse combined generalized polynomial chaos model to optimize the design of a photonic filter. We minimize fluctuations of the filter bandwidth due to fabrication tolerances, achieving robust design solutions with increased ...
Daniel, Luca +7 more
core +1 more source
Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.Abstract Dry‐wet whiplash events profoundly impact society and the environment, yet their attribution remain poorly understood. This study reveals that the unprecedented interannual wet‐to‐dry transition (return period: 979.2 years) in South China's 1962–1963 pre‐flood season is co‐driven by internal variability and volcanic forcing.
Qi Wen +5 more
wiley +1 more source
Shock and Vibration, 2020 The study of the nonlinear dynamic behaviour of friction systems in general and of clutch systems in particular remains an open problem. Noise and vibrations induced by friction in the sliding phase of a clutch are very sensitive to design parameters ...
M.-H. Trinh, S. Berger, E. Aubry
doaj +1 more source
Engineering Reports, Volume 8, Issue 6, June 2026.This study investigates a nonlinear Navier‐Stokes‐type model for elastic cylindrical vessels. Exact solutions are derived via the Bäcklund transformation and the ϕ6$$ {\phi}^6 $$‐expansion method, and dynamical behaviors are analyzed using bifurcation and chaos tools, revealing diverse wave structures and parameter‐dependent propagation characteristics.
Sheikh Zain Majid +2 more
wiley +1 more source
Unifying framework for information processing in stochastically driven dynamical systems
Physical Review Research, 2021 A dynamical system is an information processing apparatus that encodes input streams from the external environment to its state and processes them through state transitions.
Tomoyuki Kubota +2 more
doaj +1 more source