Go Back

Artificial intelligence on the hunt for illegal nuclear material

NSSPI student Sean Martinson works on samples in the glovebox.
Texas A&M University doctoral student Sean Martinson works on plutonium solution purification inside a protective glove box in Dr. Sunil Chirayath’s nuclear forensics laboratory. | Image: Texas A&M Engineering

NSSPI Director Dr. Sunil Chirayath’s new study on nuclear forensics recently published in the journal Nuclear Science and Engineering details the machine learning methodologies his research team is developing to trace the origin of illicit nuclear materials.

See the complete story by Cyndy Cerbin on the Texas A&M Engineering Experiment Station (TEES) website.

Accessibility improvements are in progress ahead of the April 2027 deadline. If you need immediate access, visit our Accommodations page.