A Simple and Accurate Apollo-Trained Neural Network Controller for Mars Atmospheric Entry H Wang, TA Elgohary International Journal of Aerospace Engineering 2020, 2020 | 6 | 2020 |
Investigating particle-particle electrostatic effects on charged lunar dust transport via discrete element modeling H Wang, JR Phillips III, AR Dove, TA Elgohary Advances in Space Research 70 (10), 3231-3248, 2022 | 4 | 2022 |
Implementation of Charged Particle Behavior in Discrete Element Method (DEM) Simulations JR Phillips III, H Wang, A Hillegass, A Esparza, AR Dove, TA Elgohary Earth and Space 2021, 188-199, 2021 | 3 | 2021 |
Neural network trained controller for atmospheric entry in Mars missions H Wang, D Martin, T Elgohary Advances in the Astronautical Sciences: AAS/AIAA Space Flight Mechanics …, 2019 | 1* | 2019 |
Incorporating Electrostatic Effects in DEM Modeling of Lunar Dust Dynamics A Dove, H Wang, J Phillips, T Eloghary The 2022 NASA Exploration Science Forum, 2022 | | 2022 |
Neural Network Trained Controller For Atmospheric Entry in Mars Environment M Keosayian, H Wang, T Elgohary | | |