Yifei Guan, Ph.D.

Yifei Guan, Ph.D.

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

Publications

Analytical and AI-Discovered Stable, Accurate, and Generalizable Subgrid-Scale Closure for Geophysical Turbulence

Published in Physical Review Letters, 2026

This paper is about an analytical and AI-driven discovery of SGS models for large-eddy simulations.

Recommended citation: Karan Jakhar, Yifei Guan, and Pedram Hassanzadeh. "Analytical and AI-Discovered Stable, Accurate, and Generalizable Subgrid-Scale Closure for Geophysical Turbulence." Physical Review Letters 136, no. 6 (2026): 064201. https://doi.org/10.1103/v28b-5qmp

Application of the ghost fluid lattice Boltzmann method to injection-induced electroconvection in a dielectric liquid

Published in Applied Mathematical Modelling, 2025

This paper is about using lattice Boltzmann method with ghost fluid for irregular boundary conditions.

Recommended citation: Yuyang Qin, Yifei Guan, and Jian Wu. "Application of the ghost fluid lattice Boltzmann method to injection-induced electroconvection in a dielectric liquid." Applied Mathematical Modelling (2025): 116546. https://doi.org/10.1016/j.apm.2025.116546

Numerical investigation of two-dimensional electro-thermo-hydrodynamic turbulence: Energy budget and scaling law analysis

Published in International Journal of Heat and Mass Transfer, 2025

This paper is about analytical and numerical analysis of energy budget in ETHD.

Recommended citation: Yifei Guan, Qi Wang, Mengqi Zhang, Yu Zhang, and Jian Wu. "Numerical investigation of two-dimensional electro-thermo-hydrodynamic turbulence: Energy budget and scaling law analysis." International Journal of Heat and Mass Transfer 247 (2025): 127094. https://doi.org/10.1016/j.ijheatmasstransfer.2025.127094

Data imbalance, uncertainty quantification, and transfer learning in data‐driven parameterizations: Lessons from the emulation of gravity wave momentum transport in WACCM

Published in Journal of Advances in Modeling Earth Systems, 2024

This paper is about using machine learning methods for climate models.

Recommended citation: Sun, Y. Qiang, Hamid A. Pahlavan, Ashesh Chattopadhyay, Pedram Hassanzadeh, Sandro W. Lubis, M. Joan Alexander, Edwin P. Gerber, Aditi Sheshadri, and Yifei Guan. "Data imbalance, uncertainty quantification, and transfer learning in data‐driven parameterizations: Lessons from the emulation of gravity wave momentum transport in WACCM." Journal of Advances in Modeling Earth Systems 16, no. 7 (2024): e2023MS004145. https://doi.org/10.1029/2023MS004145

Learning closed‐form equations for subgrid‐scale closures from high‐fidelity data: Promises and challenges

Published in Journal of Advances in Modeling Earth Systems, 2024

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

Recommended citation: Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh Chattopadhyay, and Pedram Hassanzadeh. "Learning closed‐form equations for subgrid‐scale closures from high‐fidelity data: Promises and challenges" Journal of Advances in Modeling Earth Systems 16, no. 7 (2024): e2023MS003874. https://doi.org/10.1029/2023MS003874

Numerical analysis of single bubble dynamics and heat transfer in electric field-enhanced nucleate boiling

Published in International Journal of Heat and Fluid Flow, 2024

This paper is about numerical analysis of nucleate boiling.

Recommended citation: Qi Wang, Alberto T. Pérez, Yifei Guan, and Jian Wu. "Numerical analysis of single bubble dynamics and heat transfer in electric field-enhanced nucleate boiling." International Journal of Heat and Fluid Flow 108 (2024): 109430. https://doi.org/10.1016/j.ijheatfluidflow.2024.109430

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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