Texas A&M researchers have enhanced the dehumidification efficiency of a polymer that could help develop more energy-efficient systems with a smaller carbon footprint.

Researchers are using machine learning to find and extract the main features of large data sets.

A species called T. dohrnii is able to reverse its own aging process. Texas A&M-Galveston researchers are trying to see if this could apply to humans.

Total research expenditures surpass $1.131 billion in FY 2020, Texas A&M reports to National Science Foundation.

The self-folding antennas can be stored flat, and when needed, deployed into the common bowl-like shape.

Texas A&M researchers have shown that water treatment has the potential to remove nearly all viruses that have an "outer fortress" from drinking water.

Texas A&M researchers have developed a deep-learning algorithm that can denoise images to reveal otherwise invisible details.

A Texas A&M team is using predictive models to reduce flammability in lithium-ion batteries found in smartphones and electric vehicles.

Texas A&M researchers have designed a device that stimulates the endings of the vagus nerve, which is responsible for the regulation of food intake.

In a new study, Texas A&M researchers in the Department of Materials Science and Engineering describe a new material that comes close to mimicking how brain cells perform computations.