Infusing High-Performance Computing and Machine Learning in Mechanical Engineering Education

This paper presents the integration of parallel computing into engineering education.This paper will discuss the role of scientific computing in molecular dynamics simulations, density functional theory simulations, and deep learning model training.It is becoming more critical for students to have the capability of running simulations or train machine learning models and when needed to improve computational times with the aid of supercomputers.This paper will cover current applications of scientific computing in research areas, upscaling on supercomputers (with an emphasis on machine learning models), how to use supercomputers, and ideas on integrating the topics into the mechanical engineering curriculum.