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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.

Jaybelle Panada stands on the steps of a brick campus building, looking off into the distance with a slight smile.

A Texas A&M materials science and engineering doctoral candidate is developing next-generation batteries for aerospace applications and teaching the next generation of scientists how to ask better questions along the way.

An offshore platform stands in the ocean at sunset, with calm waves in the foreground and a sunset on the horizon.

Texas A&M researchers are developing fish-like swimming nanorobots that could make lithium recovery from seawater more efficient and help strengthen the domestic supply of a critical mineral.

Headshot of Dr. Debjyoti Banerjee on a maroon background.

Dr. Debjyoti Banerjee was recognized with the American Society of Mechanical Engineers Heat Transfer Memorial Award for advancing heat transfer research and translating scientific discoveries into patented technologies and startup companies.

Three people sit at a desk smiling with computers sitting in front of them.

The TEES Annual Research Conference showcases how collaboration drives innovation; this year’s winners are advancing disaster resilience, water quality, rural health, cybersecurity, lunar research and energy infrastructure for Texas and beyond.

Jaybelle Pranada and another woman holding an award.

Jaybelle Pranada attended the Catalyzing Energy Education and Excellence Symposium and proposed a battery that maintains efficiency in extreme environments, like space.

A headshot of Dr. Xin Chen on a maroon background.

Dr. Xin Chen in Texas A&M’s electrical and computer engineering department earned the prestigious NSF CAREER Award and funding for his work on AI-based control for power grids.

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As large data center demands surge, Texas A&M researchers are creating a multidisciplinary platform where industry leaders, engineers, researchers and students can come together to tackle challenges in Texas’ power grid through collaborative workshops.

A man with a clipboard and hard hat monitoring a nuclear reactor from a distance.

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.

A graphic of the shape of Texas over power lines.

The Institute for a Disaster Resilient Texas has developed a tool to monitor power outages in near real-time, benefiting emergency responders and civilians.