Research

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.

Micron-scale “metajets” reveal a scalable approach to optical propulsion, using metasurfaces to control motion with light in multiple directions.

Texas A&M biomedical engineering researchers have developed a treatment for chronic diabetic ulcers using lab-grown human cells to produce natural skin structures.

New machine learning tools from Texas A&M’s computer science and engineering department reveal when, where and how anglers fish — opening the door to smarter and more sustainable management.  

With the help of a grant from the Office of Naval Research, Dr. Wencheng Jin of Texas A&M is developing AXBeach, a computer model that can predict real-time changes to shorelines during storms.

Researchers from the Urban Resilience AI Lab have created a deep learning framework to rate community resilience and risk based on interdependent factors.

Dr. Krishna Narayanan and fellow researchers at Texas A&M have developed Encando, an AI platform designed to empower professors and students in college classrooms.

Samsung Austin Semiconductor partnership supports Texas A&M College of Engineering’s goal of educating top talent to drive the future of the semiconductor industry.

Dr. Hatice Ceylan Koydemir of Texas A&M leads an international team developing an at-home device that could allow pregnant women to quickly screen for preeclampsia.