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Last update: Jan. 2024

I am currently a postdoctoral fellow in Graduate Aerospace Laboratories (GALCIT) at Caltech. My current advisor is Dr. H. Jane Bae from GALCIT. I earned my Ph.D. degree in Department of Mechanical Engineering at Pennsylvania State University. My research interest is to combine data-driven techniques and turbulence research with the assistance of physical insights.

Rapidly growing AI for science community provides more than new tools for existing turbulence problems, but also new perspectives for understanding turbulent systems and the framework of turbulence research. I am also interested in turbulence modeling for real-world applications, e.g., atmosphere, ocean, and vehicles, where rotation, stratification, and non-zero pressure gradient will be of great importance. I welcome discussions on any topics on turbulence, and a broad range of fluid mechanics!

      Updated Jan. 2024

Bio

  • Postdoctoral scholar research associate in GALCIT, Caltech, Aug. 2023 - present
  • Ph.D. in Mechanical Engineering, The Pennsylvania State University, Aug. 2018 - May 2023
  • Bachelor of Engineering, Tsinghua University, Aug. 2014 - Jun. 2018

News

[2023/08] Joined Bae group in GALCIT at Caltech as a postdoctoral fellow!
[2023/02] Finished my Ph.D. defense. See my Ph.D. dissertation here! (Title: Data-driven approach for turbulence modeling in rotating flows and stratified flows)

Selected publications

The characteristics of the meandering effect in a stratified wake
Xinyi Huang, & Jiaqi Li (2024)
Isolating meandering effect, we find that the large-scale meandering motion has little effect on changing the scaling of the mean velocity, but it is one of the main reasons for possible deviation from the Gaussian assumptions.


Distilling experience into a physically interpretable recommender system for computational model selection
Xinyi Huang, Thomas Chyczewski, Zhenhua Xia, Robert Kunz, & Xiang Yang (2023)
We distill human experience into a recommender system to do computational model selection of RANS models.


Determining a priori a RANS model’s applicable range via global epistemic uncertainty quantification
Xinyi Huang, Naman Jain, Robert Kunz, & Xiang Yang (2021)
The global epistemic uncertainty quantification evaluate the effectiveness and consistency of a model term, and provide guidance in model calibration a priori.


A Bayesian approach to the mean flow in a channel with small but arbitrarily directional system rotation
Xinyi Huang, & Xiang Yang (2021)
We use Bayesian approach to effienciently sample the flow controlling parameter space, and provide a surrogate model for a channel with arbitrarily directional system rotation.


Wall-modeled large-eddy simulations of spanwise rotating turbulent channels—Comparing a physics-based approach and a data-based approach
Xinyi Huang, Xiang Yang, & Robert F. Kunz (2019)
We develop wall modeling capabilities for a channel flow subjected to spanwise roation, and compare a physics-based approach and a data-based approach.


Publication list

  • Huang, X., & Li, J. J. L. (2024). The characteristics of the meandering effect in a stratified wake. (Under review) [link]
  • Huang, X., Chyczewski T., Xia Z., Kunz, R. F., & Yang, X. I. A. (2023). Distilling experience into a physically interpretable recommender system for computational model selection. Sci. Rep., 13, 2225 [link]
  • Huang, X., Kunz, R. F., & Yang, X. I. A. (2023). Linear Logistic Regression with Weight Thresholding for Flow Regime Classification of a Stratified Wake. Theor. Appl. Mech. Lett., 100414. [link]
  • Jain, N., Huang, X., Li, J. J. L., Yang, X. I. A. and Kunz, R. F. (2023). An Assessment of Second Moment Closure Modeling for Stratified Wakes Using Direct Numerical Simulations Ensembles. J. Fluids Eng., 145(9). [link]
  • Jain, N., Pham, H. T., Huang, X., Sarkar, S., Yang, X., & Kunz, R. (2022). Second Moment Closure Modeling and Direct Numerical Simulation of Stratified Shear Layers. J. Fluids Eng., 144(4), 041102. [link]
  • Huang, X., Jain, N., Abkar, M., Kunz, R. F., & Yang, X. I. A. (2021). Determining a priori a RANS model’s applicable range via global epistemic uncertainty quantification. Comput. Fluids, 230, 105113. [link]
  • Huang, X., & Yang, X. I. A. (2021). A Bayesian approach to the mean flow in a channel with small but arbitrarily directional system rotation. Phys. Fluids, 33(1), 015103. [link]
  • Lv, Y., Huang, X., Yang, X., & Yang, X. I. (2021). Wall-model integrated computational framework for large-eddy simulations of wall-bounded flows. Phys. Fluids, 33(12), 125120. [link]
  • Yang, X. I. A., Hong, J., Lee, M., & Huang, X. (2021). Grid resolution requirement for resolving rare and high intensity wall-shear stress events in direct numerical simulations. Phys. Rev. Fluids, 6(5), 054603. (Editors’ suggestion) [link]
  • Kumar, S. S., Huang, X., Yang, X., & Hong, J. (2021). Three dimensional flow motions in the viscous sublayer. Theor. Appl. Mech. Lett., 11(2), 100239. [link]
  • Huang, X., Yang, X. I. A., & Kunz, R. F. (2019). Wall-modeled large-eddy simulations of spanwise rotating turbulent channels—Comparing a physics-based approach and a data-based approach. Phys. Fluids, 31(12), 125105. [link]
  • Yang, X. I. A., Xu, H. H. A., Huang, X., & Ge, M. W. (2019). Drag forces on sparsely packed cube arrays. J. Fluid Mech., 880, 992-1019. [link]

Selected conference

  • Xinyi Huang, Jiaqi Li, & Xiang Yang. “The characteristics of the meandering effect in a stratified wake.” Bulletin of the American Physical Society (2023).
  • Xinyi Huang, Robert Kunz, & Xiang Yang. “Linear logistic regression with weight thresholding for flow regime classification of a stratified wake.” Bulletin of the American Physical Society (2022).
  • Xinyi Huang, Robert Kunz, & Xiang Yang. “Data-driven computational model selection via recommender systems.” Bulletin of the American Physical Society, 66 (2021).
  • Xinyi Huang, Naman Jain, Robert Kunz, & Xiang Yang. “Epistemic uncertainty quantification of Reynolds stress models.” Bulletin of the American Physical Society (2020).
  • Xinyi Huang, & Xiang Yang. “Wall-modeled LES of flow around a prolate spheroid at various angles of attack.” Bulletin of the American Physical Society, 64 (2019).

Contact me

Email: xinyih@caltech.edu

Friends

  • Jinyuan Liu knows something about turbulence.
  • Check out this rising star Jiaqi Li at Penn State who is doing world-class research in the field of data-driven turbulence.
  • Yixuan Song will be your source of new friends when you are new to a place. This is how I got to meet many people at Penn State. :)
  • Laixi Shi is still thinking about a line to introduce herself…