Project Scientific Machine Learning Program Mechanical Engineering Undergraduate Research Program Term Summer 2025 Status Closed Research Area Machine Learning, Fluid Dynamics, Mechanical Engineering, Chemical Engineering, Computer Science Description This project in Scientific Machine Learning applies methods to integrate physics-based knowledge with data-driven models. Mechanical engineering principles intersect with scientific computation as we develop machine learning algorithms that are interpretable and physically meaningful, with applications in fluid mechanics, materials, and thermal systems. Supervisor Carlos M Corvalan Mentor Type of work required Develop working computer codes that leverage machine learning to solve engineering problems
Websites Qualifications Background in linear algebra, differential equations and scientific computing Credit Hours 3 Weekly Hours 10 (estimated)