Neural Network Accelerated Computational System for Astrodynamics Research
Faculty Mentor Name
Davide Conte
Format Preference
Poster
Abstract
Space mission design and astrodynamics research rely heavily on repeated simulations and large-scale numerical studies. However, undergraduate research at Embry-Riddle Prescott is currently constrained by limited computational resources that are not optimized for these workloads. As research problems become more complex, these limitations reduce both the efficiency and ambition of student research efforts.
This project proposes the design and construction of a high-speed computing system tailored specifically for astrodynamics and space mission design research. The central premise is that a dedicated, optimized computing platform can significantly improve research speed, efficiency, and capability for undergraduate researchers, both now and in the future.
The increasing dependence on computational power in aerospace research, combined with the lack of accessible high-performance hardware for students, highlights the need for this project. In prior undergraduate research, students have been required to purchase external cloud computing time to complete computationally intensive analyses, such as collision avoidance studies, due to the limitations of on-campus resources, creating both financial and logistical barriers to research.
The project will involve selecting appropriate hardware, assembling and configuring the system, and installing relevant scientific and mission-design software. Once operational, the platform will support applications including trajectory optimization, Lambert transfer analysis, and neural-network-based modeling. By reducing computation time and enabling larger and more diverse simulation studies, this system will allow students to investigate more complex mission concepts and iterate more effectively on research ideas.
Expected outcomes include a functional, long-term computing resource that supports current and future astrodynamics research, increases research productivity, ambition, and enhances undergraduate engagement in advanced space mission design at Embry-Riddle Prescott.
Neural Network Accelerated Computational System for Astrodynamics Research
Space mission design and astrodynamics research rely heavily on repeated simulations and large-scale numerical studies. However, undergraduate research at Embry-Riddle Prescott is currently constrained by limited computational resources that are not optimized for these workloads. As research problems become more complex, these limitations reduce both the efficiency and ambition of student research efforts.
This project proposes the design and construction of a high-speed computing system tailored specifically for astrodynamics and space mission design research. The central premise is that a dedicated, optimized computing platform can significantly improve research speed, efficiency, and capability for undergraduate researchers, both now and in the future.
The increasing dependence on computational power in aerospace research, combined with the lack of accessible high-performance hardware for students, highlights the need for this project. In prior undergraduate research, students have been required to purchase external cloud computing time to complete computationally intensive analyses, such as collision avoidance studies, due to the limitations of on-campus resources, creating both financial and logistical barriers to research.
The project will involve selecting appropriate hardware, assembling and configuring the system, and installing relevant scientific and mission-design software. Once operational, the platform will support applications including trajectory optimization, Lambert transfer analysis, and neural-network-based modeling. By reducing computation time and enabling larger and more diverse simulation studies, this system will allow students to investigate more complex mission concepts and iterate more effectively on research ideas.
Expected outcomes include a functional, long-term computing resource that supports current and future astrodynamics research, increases research productivity, ambition, and enhances undergraduate engagement in advanced space mission design at Embry-Riddle Prescott.