Georgetown Physics Professors Secure Military Research Grant
Air Force researchers will utilize artificial intelligence to analyze defects in magnetic materials over three years.
Updated on Oct. 22, 2026 in Materials Science
Live Poll
Do you believe integrating artificial intelligence into scientific research leads to better discovery outcomes?
Georgetown University physics professors Kai Liu and Gen Yin received a three-year military research grant from the Air Force Office of Scientific Research. The team plans to use artificial intelligence to identify atomic defects in magnetic materials to improve electronic performance.
Why it matters
By treating atomic defects as a design parameter, researchers hope to optimize magnetic materials for use in drones, electric vehicles, and motors. This approach could lead to more energy-efficient electronics with significantly reduced charging times.
The study employs the first-order reversal curve technique to map magnetic fingerprints alongside machine learning algorithms. Researchers will compare computer-simulated models against experimental samples to validate the findings.
The players
Kai Liu
He is a physics professor at Georgetown University who is spearheading the investigation into magnetic materials.
Gen Yin
He is a physics professor at Georgetown University collaborating on the development of AI-driven material analysis.
Bradley Fugetta
He is a doctoral student at Georgetown University actively involved in the research project.
Air Force Office of Scientific Research
This government organization funds basic scientific research that supports the technological needs of the United States Air Force.
The details
Professor Kai Liu and Professor Gen Yin are leading the project to understand how physical structure and atomic defects influence magnetic behavior. Doctoral student Bradley Fugetta is also participating in the research, which aims to produce an open-source AI model for broader scientific use.
Timeline
October 14, 2026: Georgetown University officially announced the grant award.
The Big Picture
This project continues the long-standing mission of the Air Force Office of Scientific Research to fund academic studies that translate laboratory discoveries into defense and civilian applications. By applying AI to materials science, the work shifts the discipline toward predictive modeling.
The success of this research could eventually lead to higher-capacity batteries and more efficient motors in consumer electric vehicles. Over time, the commercialization of these magnetic material breakthroughs may lower energy costs for everyday electronics.
The takeaway
Using artificial intelligence to map material defects allows researchers to solve complex physical problems with greater speed. Future technology designs will likely increasingly rely on such machine learning models to identify optimal atomic structures.
Further reading
Learn more about the evolving field of Materials Science.
Source note: This article includes information reported by The Hoya.
Live Poll
Do you believe integrating artificial intelligence into scientific research leads to better discovery outcomes?
