The AI and Physical Sciences research area unites faculty from diverse fields and programs, including physics, biophysics, chemical physics, chemistry, and applied mathematics, to drive innovation at the intersection of AI, machine learning (ML), and the physical sciences. This research area emphasizes the unique role of physics—particularly statistical physics, quantum mechanics, and nonlinear dynamics—in developing next-generation AI methods. Through this program, students can explore a broad range of application areas. UMD’s strength in these disciplines positions it as a leader in shaping an AI-first approach to the physical sciences, fostering advances that push both fields forward.
Personnel
Maissam Barkeshli
Victor Galitski
Michelle Girvan
Chris Jarzynski
Wolfgang Losert
Praytush Tiwary
Research Areas
- AI approaches for next-generation molecular structure and dynamics prediction
- Statistical physics and nonlinear dynamics approaches to AI
- Convergence of Neurophysics and AI (Biocomputing)