关注
Lean Fang
Lean Fang
Ph.D. candidate, Aerospace Engineering, Iowa State University
在 iastate.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A Consistent Fixed-point Discrete Adjoint Method for Segregated Navier--Stokes Solvers
L Fang, P He
AIAA AVIATION 2022 Forum, 4000, 2022
62022
A duality-preserving adjoint method for segregated Navier–Stokes solvers
L Fang, P He
Journal of Computational Physics 503, 112860, 2024
52024
A segregated time-accurate adjoint method for field inversion of unsteady flow
L Fang, P He
AIAA SCITECH 2024 Forum, 0158, 2024
32024
Finite Element Analysis of a High-Speed Suspension Boat Fuselage
L Fang
Lehigh University, 2017
32017
Field inversion machine learning augmented turbulence modeling for time-accurate unsteady flow
L Fang, P He
Physics of Fluids 36 (5), 2024
22024
Implicit Runge-Kutta Schemes for Segregated Solutions of Unsteady Flow and Adjoint Equations
L Fang, P He
AIAA SCITECH 2025 Forum, 0577, 2025
2025
Aerothermal Shape Optimization of Actively-Cooled Battery Packs Using Conjugate Heat Transfer
P He, C Psenica, L Fang, M Leader
AIAA SCITECH 2025 Forum, 1559, 2025
2025
Conjugate Heat Transfer Shape Optimization of a U-Bend Pipe With a Discrete Adjoint Method
C Psenica, L Fang, S Zoppelt, P He
AIAA SCITECH 2025 Forum, 1558, 2025
2025
Field Inversion Machine Learning for Accurate Predictions of Time-Resolved Unsteady Flows Over Airfoils
Z Li, L Fang, A Sharma, P He
AIAA SCITECH 2025 Forum, 2049, 2025
2025
PLEASE CITE THIS ARTICLE AS DOI: 10.1063/5.0207704
TAU Flow, L Fang, P He
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