Headshot of Dr. Matt Pharr, a smiling man wearing a light blue polo shirt.

Matt Pharr, assistant professor in the J. Mike Walker ’66 Department of Mechanical Engineering, has published findings on the mechanics of tears in elastic materials that may help develop more tear-resistant materials in the future.

City drainage systems drainage graphic.

Flood prediction becomes increasingly challenging during events of extreme rainfall, like during hurricanes. Texas A&M researchers have developed a new probability-based tool that considers the network of drainage systems to accurately predict the flow of flood water in near actual time.

Team of IT programmers working on desktop computers in data center control room. Young professionals writing in sophisticated programming code language.

Texas A&M University-San Antonio will advance cyber research through a newly established Cyber Engineering Technology/Cyber Security Research Center with a $1 million grant from The Texas A&M University System Chancellor’s Research Initiative (CRI). The center will be housed in the Department of Computing and Cyber Security within the College of Business.

Scientist and young woman analyzing the smart watch's data

Researchers at Texas A&M University are working on a smartphone app that can help students manage their mental health and connect to resources.

Torching flame retardent foam

Dr. Jaime Grunlan and his team are helping lead the effort to pursue safer, more effective ways to protect flammable objects through the development of flame-retardant surface treatments.

The sea surface with setting sun

The separation between sky and sea is only one millimeter at its thickest and, yet, this sea-surface microlayer plays a major role in global phenomena. Dr. Aarthi Sekaran is taking a deeper look into how flow instabilities in this microlayer affects weather patterns and prediction.

Installing software updates sometimes lets a performance bug in.

Updates to software can sometimes create inadvertent glitches, slowing down performance. Texas A&M researchers have developed a new algorithm based on machine learning that can locate and diagnose the bug.

Texas A&M researchers have shown that when microporous annealed particle hydrogels degrade, stems cells grow, spread and form networks.

Squishy, jelly-like materials called microporous annealed particle hydrogels are emerging as ideal candidates for delivering stem cells to the site of tissue injury. Texas A&M researchers now show that only when these hydrogels degrade over time, stems cells grow, spread and form dense networks.

Dr. Maryam Zahabi, a woman with long brown hair and round glasses, stands and points to a computer screen. A man with wavy black hair and round glasses, wearing a white lab coat, sits beside her and watches.

Machine learning algorithms and computational models can provide insight into the mental demand placed on individuals using prosthetics. Dr. Maryam Zahabi and her team are using these models to improve the current interface in prosthetic devices by studying prosthetics that use an electromyography-based human-machine interface.