1 citations · 3 across the 6 of their papers we have counts for
6 papers
Parametric reduced order models with machine learning for spatial emulation of mixing and combustion problems
Chenxu Ni, Siyu Ding, Xingjian Wang
High-fidelity simulations of mixing and combustion processes are generally computationally demanding and time-consuming, hindering their wide application in industrial design and o…
Flow Dynamics of a Dodecane Jet in Oxygen Crossflow at Supercritical Pressures
Siyu Ding, Jiabin Li, Longfei Wang +2
In advanced aero-propulsion engines, kerosene is often injected into the combustor at supercritical pressures, where flow dynamics is distinct from the subcritical counterpart. Lar…
Common kernel-smoothed proper orthogonal decomposition (CKSPOD): An efficient reduced-order model for emulation of spatiotemporally evolving flow dynamics
Yu-Hung Chang, Xingjian Wang, Liwei Zhang +4
In the present study, we propose a new surrogate model, called common kernel-smoothed proper orthogonal decomposition (CKSPOD), to efficiently emulate the spatiotemporal evolution…
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…
An efficient surrogate model for emulation and physics extraction of large eddy simulations
Simon Mak, Chih-Li Sung, Xingjian Wang +5
In the quest for advanced propulsion and power-generation systems, high-fidelity simulations are too computationally expensive to survey the desired design space, and a new design…