Undergraduate Research & Scholarships

Ronnie Mack L&S Math & Physical Sciences

Hybrid Neural Networks for Understanding Physical Environments

This project aims to develop an advanced hybrid neural system inspired by human sensory perception. It combines attention-driven exploratory learning with physics-informed reasoning to enable artificial intelligence (AI) to move beyond pattern recognition and into true understanding of complex physical environments. The title reflects the system’s journey from perceiving raw data (blind exploration) to refining and validating that data through physical laws (seeing with clarity).

Message To Sponsor

Thank you for supporting this opportunity to pursue my research in physics-informed neural networks and scientific machine learning. I’m especially excited about developing intelligent systems that can simulate, interpret, and even discover physical laws from data. This project sits at the intersection of physics and AI—two areas I’m deeply passionate about—and your support is helping make that vision possible.