Yifei Guan, Ph.D.

Yifei Guan, Ph.D.

Assistant Professor at Union College, specialized in fluid dynamics and machine learning. Email: guany@union.edu

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Pages

Posts

Future Blog Post

less than 1 minute read

Published:

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Blog Post number 4

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Blog Post number 3

less than 1 minute read

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Blog Post number 2

less than 1 minute read

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Blog Post number 1

less than 1 minute read

Published:

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portfolio

publications

Improvement of the Bag-Mediated Filtration System for Sampling Wastewater and Wastewater-Impacted Waters

Published in Food and Environmental Virology, 2017

This paper is about a new design of filtration system.

Recommended citation: Christine Susan Fagnant, Liliana Margarita Sánchez-Gonzalez, Nicolette A. Zhou, Jill Christin Falman, Michael Eisenstein, Dylan Guelig, Byron Ockerman et al. "Improvement of the bag-mediated filtration system for sampling wastewater and wastewater-impacted waters." Food and environmental virology 10, no. 1 (2018): 72-82. https://doi.org/10.1007/s12560-017-9311-7

Experimental and numerical investigation of electrohydrodynamic flow in a point-to-ring corona discharge

Published in Physical Review Fluids, 2018

This paper is about experiments and CFD of electrohydrodynamics.

Recommended citation: Yifei Guan, Ravi Sankar Vaddi, Alberto Aliseda, and Igor Novosselov. "Experimental and numerical investigation of electrohydrodynamic flow in a point-to-ring corona discharge." Physical Review Fluids 3, no. 4 (2018): 043701. https://doi.org/10.1103/PhysRevFluids.3.043701

Two Relaxation Time Lattice Boltzmann Method Coupled to Fast Fourier Transform Poisson Solver: Application to Electroconvective Flow

Published in Journal of Computational Physics, 2019

This paper is about 2D electrohydronamic flows a two-relaxation-time (TRT) using lattice Boltzmann method (LBM).

Recommended citation: Yifei Guan, and Igor Novosselov. "Two relaxation time lattice Boltzmann method coupled to fast Fourier transform Poisson solver: Application to electroconvective flow." Journal of computational physics 397 (2019): 108830. https://doi.org/10.1016/j.jcp.2019.07.029

Numerical investigation of injection-induced electro-convection in a dielectric liquid between two eccentric cylinders

Published in International Journal of Heat and Fluid Flow, 2020

This paper is about electrohydronamic flows between two eccentric cylinders.

Recommended citation: Junyu Huang, R. Deepak Selvakumar, Yifei Guan, Hanqing Li, Philippe Traoré, and Jian Wu. "Numerical investigation of injection-induced electro-convection in a dielectric liquid between two eccentric cylinders." International Journal of Heat and Fluid Flow 83 (2020): 108594. https://doi.org/10.1016/j.ijheatfluidflow.2020.108594

Numerical Analysis of Electrohydrodynamic flows of a dielectric liquid in a wire-plate configuration with cross Poiseuille flow

Published in Physics of Fluids, 2021

This paper is about electrohydronamics in a wire-plate configuration.

Recommended citation: Qi Wang, Junyu Huang, Yifei Guan, and Jian Wu. "Numerical analysis of electrohydrodynamic flows of a dielectric liquid in a wire–plate configuration with cross Poiseuille flow." Physics of Fluids 33, no. 1 (2021): 014107. https://doi.org/10.1063/5.0034889

Monotonic instability and overstability in two-dimensional electrothermohydrodynamic flow

Published in Physical Review Fluids, 2021

This paper is about electro-thermo-convection with inverse thermal gradient.

Recommended citation: Yifei Guan, Xuerao He, Qi Wang, Zhiwei Song, Mengqi Zhang, and Jian Wu. "Monotonic instability and overstability in two-dimensional electrothermohydrodynamic flow." Physical Review Fluids 6, no. 1 (2021): 013702. https://journals.aps.org/prfluids/abstract/10.1103/PhysRevFluids.6.013702

Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning

Published in Physics of Fluids, 2021

This paper is about data-driven subgrid-scale models for stochastic Burgers system.

Recommended citation: Adam Subel, Ashesh Chattopadhyay, Yifei Guan, and Pedram Hassanzadeh. "Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning." Physics of Fluids 33, no. 3 (2021): 031702. https://doi.org/10.1063/5.0040286

Two-relaxation time lattice Boltzmann models for the ion transport equation in electrohydrodynamic flow: D2Q5 vs D2Q9 and D3Q7 vs D3Q27

Published in Physics of Fluids, 2021

This paper investigates various lattice Boltzmann methods applied to 2D and 3D electro-convection.

Recommended citation: Baojie Zhu, Yifei Guan, and Jian Wu. "Two-relaxation time lattice Boltzmann models for the ion transport equation in electrohydrodynamic flow: D2Q5 vs D2Q9 and D3Q7 vs D3Q27." Physics of Fluids 33, no. 4 (2021): 044108. https://doi.org/10.1063/5.0042564

Numerical investigation of instability and transition to chaos in electro-convection of dielectric liquids between concentric cylinders

Published in Physics of Fluids, 2021

This paper is about route to chaos of a 2D electro-convection system between concentric cylinders.

Recommended citation: Junyu Huang, Qi Wang, Yifei Guan, Zhonglin Du, R. Deepak Selvakumar, and Jian Wu. "Numerical investigation of instability and transition to chaos in electro-convection of dielectric liquids between concentric cylinders." Physics of Fluids 33, no. 4 (2021): 044112. https://doi.org/10.1063/5.0044147

Chaotic electro-convection flow states of a dielectric liquid between two parallel electrodes

Published in European Journal of Mechanics - B/Fluids, 2021

This paper is about route to chaos of a 2D electro-convection system.

Recommended citation: Qi Wang, Yifei Guan, Junyu Huang, and Jian Wu. "Chaotic electro-convection flow states of a dielectric liquid between two parallel electrodes." European Journal of Mechanics - B/Fluids 89, Pages 332-348 (2021). https://doi.org/10.1016/j.euromechflu.2021.07.001

Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning

Published in Journal of Computational Physics, 2022

This paper is about learning a data-driven model for stable and accurate online LES of decaying 2D turbulence.

Recommended citation: Yifei Guan, Ashesh Chattopadhyay, Adam Subel, and Pedram Hassanzadeh. "Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning." Journal of Computational Physics 2022, 458, 111090 https://doi.org/10.1016/j.jcp.2022.111090

Transition sequences and heat transfer enhancement in electro-thermo-convection of a dielectric liquid between two parallel electrodes

Published in International Journal of Thermal Sciences, 2022

This paper is about finding transition sequences from laminar to turbulent flows of electro-thermo-hydrodynamics.

Recommended citation: Qi Wang, Yifei Guan, Tao Wei, and Jian Wu. "Transition sequences and heat transfer enhancement in electro-thermo-convection of a dielectric liquid between two parallel electrodes." International Journal of Thermal Sciences 179 (2022): 107705. https://doi.org/10.1016/j.ijthermalsci.2022.107705

Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES

Published in Physica D, 2022

This paper is about learning physics-constrained subgrid-scale models in the small-data regime.

Recommended citation: Yifei Guan, Adam Subel, Ashesh Chattopadhyay, and Pedram Hassanzadeh. "Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES." 2022 Physica D: Nonlinear Phenomena, p.133568. https://doi.org/10.1016/j.physd.2022.133568

Enhanced heat transfer and symmetry breaking in three-dimensional electro-thermo-hydrodynamic convection

Published in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022

This paper is about heat transfer enhancement and symmetry breaking of electro-thermo-convection in a 3D domain.

Recommended citation: Qi Wang, Yifei Guan, and Jian Wu. "Enhanced heat transfer and symmetry breaking in three-dimensional electro-thermo-hydrodynamic convection." 2022 Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science: 09544062221136677. https://doi.org/10.1177/09544062221136677

Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow

Published in PNAS Nexus, 2023

This paper is about finding spectral analysis of convolutional neural network applied to transfer learning.

Recommended citation: Adam Subel, Yifei Guan, Ashesh Chattopadhyay, and Pedram Hassanzadeh. "Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow." PNAS Nexus (2023). https://doi.org/10.1093/pnasnexus/pgad015

Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges

Published in arXiv, 2023

This paper is about scientific discovery of SGS models for large-eddy simulations.

Recommended citation: Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh, and Laura Zanna. "Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges." arXiv:2306.05014v1 (2023). https://arxiv.org/abs/2306.05014

talks

teaching

Mechanical Engineering Analysis I

Graduate course, University of Washington, Department of Mechanical Engineering, 2015

Assist teaching Mechanical Engineering Analysis I, which is a required graduate mathematical courses of the department of mechanical engineering. Hold office hours, design assignments and projects. Each assistant works with >50 graduate students.

Mechanical Engineering Analysis II

Graduate course, University of Washington, Department of Mechanical Engineering, 2016

Assist teaching Mechanical Engineering Analysis II, which is a required graduate mathematical courses of the department of mechanical engineering. Hold office hours, design assignments and projects. Each assistant works with >50 graduate students.

Hydrodynamic stability

Graduate course, Rice University, Department of Mechanical Engineering, 2022

Lecturing a graduate-level hydrodynamic stability course as a guest lecturer.