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Peng Chen · Study

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Peng Chen

5 works· latest 2023· 3 institutionscluster: provisionalORCID 0000-0003-4215-9901

h-index5

i105

Citations141

Works here5

19

21

23

Most cited in this library

Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty2019 · 42 citations
A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design2023 · 33 citations
Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network2023 · 27 citations
Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters2021 · 21 citations
Approximation of the invariant measure of stable SDEs by an Euler–Maruyama scheme2023 · 18 citations

Works

5 shown

Approximation of the invariant measure of stable SDEs by an Euler–Maruyama scheme

Stochastic Processes and their Applications·2023·4 authors·Open access

18citations

Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network

Journal of Scientific Computing·2023·4 authors·Open access

27citations

A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design

SIAM/ASA Journal on Uncertainty Quantification·2023·3 authors

33citations

Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters

SIAM/ASA Journal on Uncertainty Quantification·2021·2 authors·Open access

21citations

Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty

Journal of Computational Physics·2019·3 authors·Open access

42citations