Research Opportunity Number: MAE-04

Project Title: Machine Learning and Molecular Dynamic Simulations of High-Pressure Combustion for Green Power Generation and Propulsion Using H2/NH3

Project Summary: Machine learning and molecular dynamic simulations of high-pressure combustion for green power generation and propulsion using H2/NH3.

Student Roles and Responsibilities: Computational modeling, quantum chemistry computation, and machine learning using data analysis and principles of physics and chemistry.

Additional Considerations: This project will last six to ten weeks. 

Department/Institute: Mechanical and Aerospace Engineering

Participation Dates: July 1 – August 15, 2025

Stipend Offered: $0

Number of Internships Available: 0-2

Application Deadline: March 15, 2025, midnight Eastern Daylight Time