Nuclear Engineering

Lee Tillman ’84 endows faculty support in the Department of Nuclear Engineering, recognizing the critical role nuclear energy will play in the world's future.

High-fidelity nuclear reactor simulations can require substantial computing power, especially when conditions change over time, but machine learning could make these simulations faster while maintaining accuracy.

A Texas A&M lab offers unique opportunities for undergraduate students to experience managing nuclear power plants through full computer simulations.

Jan Ullmann, a nuclear engineering Ph.D. student from the University of West Bohemia in Pilsen in the Czech Republic, spent the spring collaborating with peers at Texas A&M.

The Texas A&M student chapter of the American Nuclear Society hosted students from various universities at the 2026 American Nuclear Society Student Conference on April 16–18.

A new artificial intelligence tool developed by Texas A&M researchers could support nuclear engineers and operators by providing real-time insights for advanced reactor systems.

The college’s graduate program ranks No. 8 among public graduate engineering programs and No. 14 overall in the 2026 U.S. News and World Report rankings.

Texas A&M University nuclear engineering senior Daniel Nelson took a step toward his professional aspirations during an invaluable internship experience at Aalo Atomics in Idaho last summer.

The Modeling, Engineering, Design and Analysis Laboratory (MEDAL), led by nuclear engineering professor Carlo Fiorina, investigates the use of computer simulations to solve a wide variety of problems in nuclear engineering.

The very-high temperature modular reactor could attract $1B in research funding for Texas A&M Engineering.