Results 91 to 100 of about 30,004 (201)
Systematic Parameter Selection for Short Fiber Polymer Composite Direct Fiber Simulation
Interactions of individually simulated fibers are systematically calibrated such that their orientation history agrees with the results from analytical orientation models. ABSTRACT The orientation of fibers in short discontinuous fiber reinforced polymer composites is a critical factor in determining final mechanical and thermal properties.
Jason B. Pierce, Douglas E. Smith
wiley +1 more source
Simulation of Stochastic Quantum Systems Using Polynomial Chaos Expansions
We present an approach to the simulation of quantum systems driven by classical stochastic processes that is based on the polynomial chaos expansion, a well-known technique in the field of uncertainty quantification. The polynomial chaos expansion represents the system density matrix as a series of orthogonal polynomials in the principle components of ...
Young, Kevin C., Grace, Matthew D.
openaire +4 more sources
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili +5 more
wiley +1 more source
Sensitivity Analysis of Metamaterial-Inspired SIW Focusing on Resonator Misalignment
The performance of the metamaterial-inspired substrate-integrated waveguide is discussed in this work, concerning a resonator misalignment potentially caused by the fabrication process.
Stamatios A. Amanatiadis +5 more
doaj +1 more source
ABSTRACT We propose a new time series model for continuous data supported on the open unit interval (0,1)$$ \left(0,1\right) $$, motivated by applications in environmental and energy systems. The Matsuoka autoregressive moving average (MARMA) model combines the Matsuoka distribution‐a uniparametric member of the canonical exponential family‐as the ...
Guilherme Pumi +3 more
wiley +1 more source
Polynomial Chaos Expansion for Operator Learning
Operator learning (OL) has emerged as a powerful tool in scientific machine learning (SciML) for approximating mappings between infinite-dimensional functional spaces. One of its main applications is learning the solution operator of partial differential equations (PDEs).
Sharma, Himanshu +2 more
openaire +2 more sources
Comparison of non-intrusive approaches to uncertainty propagation in orbital mechanics [PDF]
The paper presents four different non-intrusive approaches to the propagation of uncertainty in orbital dynamics with particular application to space debris orbit analysis.
Kubicek, Martin +4 more
core
Stochastic collocation on unstructured multivariate meshes
Collocation has become a standard tool for approximation of parameterized systems in the uncertainty quantification (UQ) community. Techniques for least-squares regularization, compressive sampling recovery, and interpolatory reconstruction are becoming ...
Narayan, Akil, Zhou, Tao
core +1 more source
A polynomial chaos expansion in dependent random variables
26 pages, three figures, four tables; accepted by Journal of Mathematical Analysis and Applications.
openaire +3 more sources

