Project Machine learning and atomic level predictions of nanoscale heat transfer Program Mechanical Engineering Undergraduate Research Program Term Summer 2025 Status Closed Research Area Heat Transfer, Machine Learning Description Nanoscale thermal transport properties, such as thermal conductivity, interfacial conductance, reflectivity, absorptivity, and transmissivity, are critical for the thermal management of electronic devices and sustainable energy applications. Supervisor Xiulin Ruan Mentor Type of work required In this project, undergraduate students will assist postdoctoral fellows and PhD students in predicting these properties based on the atomic structures of materials, employing methods rooted in machine learning, optics, or quantum mechanics. Websites https://engineering.purdue.edu/NANOENERGY/ Qualifications Junior or senior standing is preferred. A GPA of 3.5 or higher is a plus. Credit Hours 2 Weekly Hours 7 (estimated)