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C. H. Su

Researcher at Brown University

Publications -  35
Citations -  1896

C. H. Su is an academic researcher from Brown University. The author has contributed to research in topics: Polynomial chaos & Monte Carlo method. The author has an hindex of 20, co-authored 35 publications receiving 1824 citations. Previous affiliations of C. H. Su include Massachusetts Institute of Technology.

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On head-on collisions between two solitary waves

TL;DR: In this article, a head-on collision between two solitary waves on the surface of an inviscid homogeneous fluid was considered, and a perturbation method was used to calculate the effects of the collision.
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Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos

TL;DR: In this paper, a generalized polynomial chaos algorithm is proposed to model the input uncertainty and its propagation in flow-structure interactions, where the stochastic input is represented spectrally by employing orthogonal polynomials from the Askey scheme as the trial basis in the random space.
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Continuum Theory of Spherical Electrostatic Probes

C. H. Su, +1 more
- 01 Oct 1963 - 
TL;DR: In this article, a continuum theory for spherical electrostatic probes in a slightly ionized plasma is developed, where the density of the plasma is taken to be sufficiently high such that both ions and electrons suffer numerous collisions with the neutrals before being collected by an absorbing probe.
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Generalized polynomial chaos and random oscillators

TL;DR: In this paper, a polynomial chaos expansion was proposed to obtain solutions for general random oscillators using a broad class of polynomials, which are more efficient than the classical Wiener-Hermite expansions.
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Spectral Polynomial Chaos Solutions of the Stochastic Advection Equation

TL;DR: A new algorithm based on Wiener–Hermite functionals combined with Fourier collocation to solve the advection equation with stochastic transport velocity is presented, which is orders of magnitude more efficient than Monte Carlo simulations for comparable accuracy.