1 citations · 1 across the 1 of their papers we have counts for
5 papers
A clustered Gaussian process model for computer experiments
Chih-Li Sung, Benjamin Haaland, Youngdeok Hwang +1
A Gaussian process has been one of the important approaches for emulating computer simulations. However, the stationarity assumption for a Gaussian process and the intractability f…
Calibration of inexact computer models with heteroscedastic errors
Chih-Li Sung, Beau David Barber, Berkley J. Walker
Computer models are commonly used to represent a wide range of real systems, but they often involve some unknown parameters. Estimating the parameters by collecting physical data b…
Calibration for computer experiments with binary responses and application to cell adhesion study
Chih-Li Sung, Ying Hung, William Rittase +2
Calibration refers to the estimation of unknown parameters which are present in computer experiments but not available in physical experiments. An accurate estimation of these para…
Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics
Yu-Hung Chang, Liwei Zhang, Xingjian Wang +5
This interdisciplinary study, which combines machine learning, statistical methodologies, high-fidelity simulations, and flow physics, demonstrates a new process for building an ef…
Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration
Shiang-Ting Yeh, Xingjian Wang, Chih-Li Sung +5
The present study proposes a data-driven framework trained with high-fidelity simulation results to facilitate decision making for combustor designs. At its core is a surrogate mod…