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Haochen Li
Haochen Li
Assistant Professor, Water Infrastructure Laboratory, University of Tennessee
Verified email at utk.edu - Homepage
Title
Cited by
Cited by
Year
CFD model of PM sedimentation and resuspension in urban water clarification
H Li, J Sansalone
Journal of Environmental Engineering 146 (3), 04019118, 2020
192020
A CFD-ML augmented alternative to residence time for clarification basin scaling and design
H Li, J Sansalone
Water Research 209, 117965, 2022
132022
Large-eddy simulation of flow turbulence in clarification systems
H Li, S Balachandar, J Sansalone
Acta Mechanica 232 (4), 1389-1412, 2021
122021
Baffled clarification basin hydrodynamics and elution in a continuous time domain
H Li, D Spelman, J Sansalone
Journal of Hydrology 595, 125958, 2021
112021
Implementing machine learning to optimize the cost-benefit of urban water clarifier geometrics
H Li, J Sansalone
Water Research 220, 118685, 2022
102022
CFD as a complementary tool to benchmark physical testing of PM separation by unit operations
H Li, J Sansalone
Journal of Environmental Engineering 146 (11), 04020122, 2020
102020
Multi-scale physical model simulation of particle filtration using computational fluid dynamics
H Li, J Sansalone
Journal of Environmental Management 271, 111021, 2020
92020
Benchmarking Reynolds-averaged Navier–Stokes turbulence models for water clarification systems
H Li, J Sansalone
Journal of Environmental Engineering 147 (9), 04021031, 2021
82021
CFD with evolutionary optimization for stormwater basin retrofits
H Li, J Sansalone
Journal of Environmental Engineering 147 (7), 04021017, 2021
82021
Discordance of tracer transport and particulate matter fate in a baffled clarification system
H Li, S Balachandar, J Sansalone
Journal of Fluids Engineering 143 (5), 051202, 2021
82021
Collector efficiency for hydrosol deep-bed filtration of non-Brownian particles at low and finite Reynolds numbers
H Li, J Sansalone
Particuology 53, 124-133, 2020
62020
Surrogate modeling of parameterized multi-dimensional premixed combustion with physics-informed neural networks for rapid exploration of design space
K Liu, K Luo, Y Cheng, A Liu, H Li, J Fan, S Balachandar
Combustion and Flame 258, 113094, 2023
52023
Interrogating common clarification models for unit operation systems with dynamic similitude
H Li, J Sansalone
Water Research 215, 118265, 2022
52022
Extensibility of a Machine Learning Model for Stormwater Basin Design and Retrofit Optimization Through a User-Friendly Web Application
H Li, D Spelman, J Sansalone
Transportation Research Record 2677 (7), 612-626, 2023
22023
InterAdsFoam: An open-source CFD model for granular media–adsorption systems with dynamic reaction zones subject to uncontrolled urban water fluxes
H Li, J Sansalone
Journal of Environmental Engineering 148 (9), 04022049, 2022
22022
Representation of Near-Wall Particle Fate in a Eulerian–Lagrangian Approach for Clarifier Unit Operations
H Li, J Sansalone
Journal of Environmental Engineering 147 (7), 04021019, 2021
22021
Unit Operation and Process Modeling with Physics-Informed Machine Learning
H Li, D Spelman, J Sansalone
Journal of Environmental Engineering 150 (4), 04024002, 2024
12024
Operator learning for urban water clarification hydrodynamics and particulate matter transport with physics-informed neural networks
H Li, M Shatarah
Water Research 251, 121123, 2024
12024
An artificial neural network-based machine learning approach to correct coarse-mesh-induced error in computational fluid dynamics modeling of cell culture bioreactor
FJ Cantarero-Rivera, R Yang, H Li, H Qi, J Chen
Food and Bioproducts Processing 143, 128-142, 2024
12024
TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields
S Liu, S Li, H Li, W Li, J Tan
arXiv preprint arXiv:2403.14877, 2024
2024
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