G. Harris, R. Falck, E. Aretskin-Hariton, P. He. Large Scale Trajectory Optimization for Low Thrust Spacecraft using Analytical Gradients. Journal of Spacecraft and Rockets.
S. Zoppelt, H. Koyuncuoglu, A. Dhulipalla, H. Hu, P. He. High-fidelity Aerostructural Design Optimization of UAV Propellers with Experimental Validations. Journal of Aircraft.
Z. Li, L. Fang, A. Sharma, P. He. Field Inversion Machine Learning for Time-Resolved Unsteady Flows in Airfoil Dynamic Stall. AIAA Journal.
M. Formichetti, U. Padmanaban, P. He, S. Symon, B. Ganapathisubramani. Assimilating rough features: A data-driven framework to infer rough wall properties from sparse experimental data. Flow, Turbulence and Combustion.
C. Psenica, L. Fang, S. Zoppelt, M. Leader, P. He. A Modular Conjugate Heat Transfer Optimization Framework for Thermal Management of Electric Aircraft. International Journal of Heat and Mass Transfer, 2026. [preprint]
L. Fang, P. He. Agentic AI for Conversational Aerodynamic Analysis and Optimization of Airfoils and Wings. AIAA SciTech Forum, 2026.
S. Zoppelt, P. He. Multidisciplinary Conceptual Design Optimization of Unmanned Aerial Vehicles Using Aviary. AIAA SciTech Forum, 2026.
A. Dikshit, P. Koratikere, L. Leifsson, P. He. Surrogate-Based Uncertainty Propagation in Aerostructural Analysis of a Wing in Subsonic Flow. AIAA SciTech Forum, 2026.
J. Wang, P. He, H. Hu. A numerical study on wind-driven runback characteristics of a thin water film flow over a solid surface. Acta Mechanica Sinica, 2025. [doi]
S. Choi, O. Abdelkhalik, P. He. Multidisciplinary Optimization of End-to-End Mars Aerobraking Trajectory and Spacecraft Design. Advances in Space Research, 2025. [doi]
B. Pacini, M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Investigating the Benefit of Aerodynamic Shape Optimization for a Wing with Distributed Propulsion. Meccanica, 2025. [doi]
P. He, C. Psenica, L. Fang, M. Leader. Aerothermal Shape Optimization of Actively-Cooled Battery Packs Using Conjugate Heat Transfer. AIAA SciTech Forum, 2025. [doi][preprint]
C. Psenica, L. Fang, S. Zoppelt, P. He. Conjugate Heat Transfer Shape Optimization of a U-bend Pipe With a Discrete Adjoint Method. AIAA SciTech Forum, 2025. [doi][preprint]
Z. Li, L. Fang, A. Sharma, P. He. Field Inversion Machine Learning for Accurate Predictions of Time-Resolved Unsteady Flows Over Airfoils. AIAA SciTech Forum, 2025. [doi][preprint]
L. Fang, P. He. Implicit Runge-Kutta Schemes for Segregated Solutions of Unsteady Flow and Adjoint Equations. AIAA SciTech Forum, 2025. [doi][preprint]
L. Fang, P. He. Field inversion machine learning augmented turbulence modeling for time-accurate unsteady flow. Physics of Fluids, 2024. [doi][preprint]
L. Fang, P. He. A Duality-Preserving Adjoint Method for Segregated Navier-Stokes Solvers. Journal of Computational Physics, 2024. [doi][preprint]
G. W. Harris, P. He, O. O. Abdelkhalik. Control Co-Design Optimization of Spacecraft Trajectory and System for Interplanetary Missions. Journal of Spacecraft and Rockets, 2024. [doi][preprint]
J. Wang, P. He, H. Hu. Predicting Interfacial Shear Stress Distributions of Wind-Driven Water Runback Flows Using Physics-Informed Neural Networks. AIAA Aviation Forum, 2024.[doi]
L. Fang, P. He. A Segregated Time-Accurate Adjoint Method for Field Inversion of Unsteady Flow. AIAA SciTech forum, 2024. [doi][preprint]
G. Harris, P. He. Low-Thrust Spacecraft Trajectory Optimization with Gravity-Assist Maneuver using Dymos. AIAA SciTech forum, 2024. [doi][preprint]
S. Zoppelt, H. Koyuncuoglu. P. He. High-fidelity Aerostructural Optimization Benchmark for Aircraft Propellers in Hover. AIAA SciTech forum, 2024. [doi][preprint]
A. Negrete, G. Harris, O. Abdelkhalik, P. He. A Suboptimal Three Body Shape Based Approach to Trajectory Design. AIAA SciTech forum, 2024. [doi]
O. Bidar, P. He, S. Anderson, N. Qin. Aerodynamic Shape Optimisation Using a Machine Learning-Augmented Turbulence Model. AIAA SciTech forum, 2024. [doi]
J. Wang, H. Hu, P. He, H. Hu. A Machine Learning Study to Predict Wind-Driven Water Runback Characteristics. Physics of Fluids, 2023. [doi][preprint]
Z. Li, P. He. Accelerating Unsteady Aerodynamic Simulations Using Predictive Reduced-order Modeling. Aerospace Science and Technology, 2023. [doi][preprint]
B. Pacini, M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Towards Mixed-Fidelity Aero-Structural-Acoustic Optimization for Urban Air Mobility Vehicle Design. In: AIAA Aviation Forum, 2023. [doi][preprint]
J.C. Wang, H.Y. Hu, P. He, H. Hu. A Data-Driven Approach to Study Nonlinear Dynamics of Wind-Driven Water Runback Flows Pertinent to Aircraft Icing Phenomena. In: AIAA Aviation Forum, 2023. [doi]
J.C. Wang, H. Sista, H.Y. Hu, P. He, H. Hu. A Novel Deep Learning Based Approach for Particle Image Velocimetry with Global Motion Aggregation. In: AIAA Aviation Forum, 2023. [doi]
H. U. Koyuncuoglu, P. He. CFD Based Multi-Component Aerodynamic Optimization for Wing Propeller Coupling. In: AIAA Scitech Forum, 2023. [doi][preprint]
P. He, H.U. Koyuncuoglu, H. Hu, A. Dhulipalla, H.Y. Hu, H. Hu. High-fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers Using the Adjoint Method. In: AIAA Scitech Forum, 2023. [doi][preprint]
B Pacini M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Multipoint Aerostructural Optimization for Urban Air Mobility Vehicle Design. In: AIAA Scitech Forum, 2023. [doi]
B Pacini M. Prajapati, K. Duraisamy, J.R.R.A. Martins, P. He. Understanding Distributed Propulsion on the NASA Tiltwing Concept Vehicle with Aerodynamic Shape Optimization. In: AIAA Scitech Forum, 2023. [doi]
H. U. Koyuncuoglu, P. He. Simultaneous wing shape and actuator parameter optimization using the adjoint method. Aerospace Science and Technology, 2022. [doi][preprint]
Y.L. Lamer, J. Morlier, E. Benard, P. He. Aeroelastic analysis of high aspect ratio and strut-braced wings. In: 33th Congress of the International Council of the Aeronautical Sciences. 2022. [preprint]
G.W. Harris, P. He, O.O Abdelkhalik. A Coupled Spacecraft System and Trajectory Optimization Framework using GMAT and OpenMDAO. In: AAS/AIAA Astrodynamics Specialist Conference, 2022. [preprint]
L. Fang, P. He. A Consistent Fixed-point Discrete Adjoint Method for Segregated Navier-Stokes Solvers. In: AIAA Aviation Forum, 2022. [doi][preprint]
J.C. Wang, H.Y. Hu, P. He, H. Hu. A Machine Learning Prediction of the Wind-Driven Water Runback Characteristics Pertinent to Aircraft Icing Phenomena. In: AIAA Aviation Forum, 2022. [doi][preprint]
O. Bidar, P. He, S. Anderson, N, Qin. An Open-source Adjoint-based Field Inversion Tool for Data-driven RANS Modelling. In: AIAA Aviation Forum, 2022. [doi][preprint]
O. Bidar, P. He, S. Anderson, N, Qin. Turbulent Mean Flow Reconstruction Based on Sparse Multi-sensor Data and Adjoint-based Field Inversion. In: AIAA Aviation Forum, 2022. [doi][preprint]
H. U. Koyuncuoglu, P. He. Coupled Wing-Propeller Aerodynamic Optimization Using the Adjoint Method. In: AIAA Scitech Forum, 2022. [doi][preprint]
Z. Li, P. He. Airfoil Unsteady Aerodynamic Analysis Using a Galerkin Reduced-order Modeling Approach. In: AIAA Scitech Forum, 2022. [doi][preprint]
J. R. Nagawkar, L. T. Leifsson, P. He. Aerodynamic Shape Optimization Using Gradient-Enhanced Multifidelity Neural Networks. In: AIAA Scitech Forum, 2022. [doi]
X. Du, P. He, J. R. R. A. Martins. Rapid airfoil design optimization via neural network-based parameterization and surrogate modeling. Aerospace Science and Technology, 2021. [doi][preprint]
N. Secco, G. K. W. Kenway, P. He, C. A. Mader, J. R. R. A. Martins. Efficient mesh generation and deformation for aerodynamic shape optimization. AIAA Journal, 2021. [doi][preprint]
Kiet T. Tran, Ping He. Unsteady aerodynamic optimization of airfoils considering shape and propeller parameters. In: AIAA Aviation Forum, 2021. [doi][preprint]
P. He, J. R. R. A. Martins. A hybrid time-spectral approach for aerodynamic optimization with unsteady flow. In: AIAA Scitech Forum, 2021. [doi][preprint]
P. He, R. Halder, K. Fidkowski, K. J. Maki, J. R. R. A. Martins. An efficient nonlinear reduced-order modeling approach for rapid aerodynamic analysis with OpenFOAM. In: AIAA Scitech Forum, 2021. [doi][preprint]
P. He, C. A. Mader, J. R. R. A. Martins, K. J. Maki. DAFoam: An open source discrete adjoint framework for multidisciplinary design optimization with OpenFOAM. AIAA Journal, 58(3), 2020. [doi][preprint]
P. He, A.J. Luder, C. A. Mader, J. R. R. A. Martins, K. J. Maki. A time-spectral adjoint approach for aerodynamic shape optimization under periodic wakes. In: AIAA Scitech Forum, AIAA-2020-2114, 2020. [doi][preprint][slides]
X. Du, P. He, J. R. R. A. Martins. A B-spline-based generative adversarial network model for fast interactive airfoil aerodynamic optimization. In: AIAA Scitech Forum, AIAA-2020-2128, 2020. [doi][preprint]
S. Basu, P. He, A. W. DeMarco. Parametrizing the Energy Dissipation Rate in Stably Stratified Flows. Boundary-Layer Meteorology, 2020. [doi]
S. Basu, J. Osborn, P. He, A. W. DeMacro. Mesoscale modelling of optical turbulence in the atmosphere: the need for ultrahigh vertical grid resolution. Monthly Notices of the Royal Astronomical Society, 497, 2302-2308. [doi]
S. Basu, A. W. DeMacro, P. He. On the dissipation rate of temperature fluctuations in stably stratified flows, Environmental Fluid Mechanics, 2020. [doi]
G. K. W. Kenway, C. A. Mader, P. He, J. R. R. A. Martins. Effective adjoint approaches for computational fluid dynamics. Progress in Aerospace Sciences, 110, 2019. [doi][preprint]
P. He, C. A. Mader, J. R. R. A. Martins, K. J. Maki. Aerothermal optimization of a ribbed U bend cooling channel using the adjoint method. International Journal of Heat and Mass Transfer, 140, 2019. [doi][preprint]
P. He, G. P. Filip, K. J. Maki, J. R. R. A. Martins. Design optimization for self-propulsion of a bulk carrier hull using a discrete adjoint method. Computers & Fluids, 192(15), 2019. [doi][preprint]
P. He, C. A. Mader, J. R. R. A. Martins, K. J. Maki. An object-oriented framework for rapid discrete adjoint development using OpenFOAM. In: AIAA Science and Technology Forum and Exposition, AIAA-2019-1210, 2019. [doi][preprint]
P. He, C. A. Mader, J. R. R. A. Martins, K. J. Maki. An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM. Computers & Fluids, 168, 2018. [doi][preprint]
P. He, C. A. Mader, J. R. R. A. Martins, K. J. Maki. Aerothermal optimization of internal cooling passages using the adjoint method, In: 2018 Joint Thermophysics and Heat Transfer Conference, AIAA Aviation Forum, AIAA-2018-4080, 2018. [doi][preprint]
P. He, G. Filip, J. R. R. A. Martins, K. J. Maki. Hull form hydrodynamic design using a discrete adjoint optimization method, In: 13th International Marine Design Conference, 2018. [preprint]
P. He, S. Basu. Extending a surface-layer Cn2 model for strongly stratified conditions utilizing a numerically-generated turbulence dataset. Optics Express, 24, 2016. [doi][preprint]
P. He. A high order finite difference solver for massively parallel simulations of stably stratified turbulent channel flows. Computers & Fluids, 127, 2016. [doi][preprint]
P. He, S. Basu. Development of similarity relationships for energy dissipation rate and temperature structure parameter in stably stratified flows: a direct numerical simulation approach. Environmental Fluid Mechanics, 16, 2015. [doi]
P. He, S. Basu. Direct numerical simulation of intermittent turbulence under stably stratified conditions. Nonlinear Processes in Geophysics, 22, 2015. [doi]
P. He, C. G. Nunalee, S. Basu, J. Minet, M. A. Vorontsov, S. T. Fiorino. Influence of heterogeneous refractivity on optical wave propagation in coastal environments. Meteorology and Atmospheric Physics, 127, 2015. [doi]
C. G. Nunalee, P. He, S. Basu, J. Minet, M. A. Vorontsov. Mapping optical ray trajectories through island wake vortices. Meteorology and Atmospheric Physics, 127, 2015. [doi]
S. Basu, P. He. Estimating refractive index structure parameter (Cn2) profiles in the atmosphere: a framework based on fractal interpolation. In: Proceedings of SPIE, Laser Communication and Propagation through the Atmosphere and Oceans IV, 2015. [doi]
P. He, S. Basu. Mesoscale modeling of optical turbulence (Cn2) utilizing a novel physically-based parameterization. In: Proceedings of SPIE, Laser Communication and Propagation through the Atmosphere and Oceans IV, 2015. [doi]
P. He, C. G. Nunalee, S. Basu, M. A. Vorontsov, S. T. Fiorino. Current status and challenges in opticalturbulence simulations in various layers of the Earth’s atmosphere. In: Proceedings of SPIE, Laser Communication and Propagation through the Atmosphere and Oceans III, 92240F, 2014. [doi]
C. G. Nunalee, P. He, S. Basu, M. A. Vorontsov, S. T. Fiorino. Impact of large-scale atmospheric refractive structures on optical wave propagation. In: Proceedings of SPIE, Laser Communication and Propagation through the Atmosphere and Oceans III, 92240W, 2014. [doi]
S. Basu, C. G. Nunalee, P. He, S. T. Fiorino. Reconstructing the prevailing meteorological and optical environment during the time of the Titanic disaster. In: Proceedings of SPIE, Laser Communication and Propagation through the Atmosphere and Oceans III, 92240Y, 2014. [doi]
P. He, Z. G. Sun, H. L. Zhang, H. S. Chen, C. Q. Tan. Investigation of clearance flows in deeply scalloped radial turbines. Proc. IMechE., Part A: Journal of Power and Energy, 226, 2012. [doi]
P. He, Z. G. Sun, H. S. Chen, C. Q. Tan. Investigation of backface cavity sealing flow in deeply scalloped radial turbines. Proc. IMechE., Part A: Journal of Power and Energy, 226, 2012. [doi]