New research explores how people subconsciously decide where to invest their attention and why that knowledge could improve safety and decision-making.

Backed by a $1 million U.S. Department of Energy award, the project aims to create a more efficient, sustainable way to capture a critical battery mineral and strengthen the domestic clean energy supply chain.

For the first time, researchers show sustained exertions could disturb the neck’s mechanical structure and increase the risk of neck pain.

Twenty years after the shuttle broke apart during re-entry, former NASA employees reflect on lessons learned in the disaster's aftermath.

Engineering professors Satish Bukkapatnam and Yu Ding have been working with Lawrence Livermore National Laboratory’s National Ignition Facility since early 2019.

Texas A&M researchers are developing technology to track and understand contributors to issues like stress, anxiety and burnout in in health care workers.

Humans and robots are working closer than ever before. Texas A&M researchers are using brain imaging to investigate how these interactions can impact human trust in robots during manufacturing tasks.

Texas A&M researchers are evaluating how stimulating the brain with weak electrical currents can delay fatigue-causing performance declines in safety-critical workers.

Predicting hypoglycemic events before they happen with a low false-alarm rate will help those living with diabetes better manage the condition.

A mathematical model developed by Texas A&M researchers can predict temperatures within mosquito breeding grounds, which can be used to estimate populations and track vector-borne diseases.