Nuclear Engineering

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 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.

Nuclear engineering Ph.D. student Dan Watson built an online tool that gathers public data into an interactive dashboard that visualizes nuclear power plants across the United States.

A nuclear engineering doctoral student at Texas A&M is building physics-informed, AI-powered frameworks to help automate information gathering and streamline workflows for nuclear research.

Texas A&M researchers are investigating how advanced nuclear fuel models can help power digital infrastructure safely and efficiently to benefit the public.

A nuclear engineering graduate student is researching how generative artificial intelligence can speed up nuclear science research.

Three Texas A&M nuclear engineering Ph.D. students and one recent Ph.D. graduate won Rapid Turnaround Experiment funding to research new nuclear reactor materials.

Nuclear engineering Ph.D. student Nahom Habtemariam is developing computational tools to understand what happens in the chamber of inertial fusion energy systems.

Texas A&M doctoral student and the Rhisotope Project team up to use radioisotopes to protect endangered rhinos from poachers.

Nuclear engineering faculty to study how irradiated additively manufactured stainless steel performs in molten salt reactor environments with new Nuclear Regulatory Commission award.