Abundant, low-cost, clean energy — the envisioned result if scientists and engineers can successfully produce a reliable method of generating and sustaining fusion energy — took one step closer to reality, as a team of researchers from The University of Texas at Austin, Los Alamos National Laboratory and Type One Energy Group solved a longstanding problem in the field.

New research from The University of Texas at Austin could aid in improving whooping cough vaccines to once again push this disease toward eradication by targeting two key weaknesses in the infection.

Discarded food scraps, stray branches, seashells and many other natural materials are key ingredients in a new system that can pull drinkable water out of thin air developed by researchers from The University of Texas at Austin.

Six University of Texas at Austin faculty members were announced today as recipients of Sloan Research Fellowships from the Alfred P. Sloan Foundation, putting UT Austin at the forefront among public universities boasting winners this year.

A pair of researchers at The University of Texas at Austin has demonstrated an AI-based tool that can translate a person’s thoughts into continuous text, without requiring the person to comprehend spoken words.

Researchers from The University of Texas at Austin and University of California, Los Angeles, have developed a conductive ink that can be printed directly on the surface of a patient’s head and measure their brainwaves.

The University of Texas at Austin is among the top universities in the world for solving society’s most difficult scientific challenges using an interdisciplinary approach, bridging knowledge and discovery across multiple fields of study to focus on a single problem.

The University of Texas at Austin will partner with industry and the U.S. Department of Energy’s Office of Clean Energy Demonstrations to build and expand a hub for hydrogen energy production along the Texas Gulf Coast that will help increase and diversify the nation’s energy supply.

The Texas Advanced Computing Center at The University of Texas at Austin has long supported Nobel Prize recipient David Baker's pioneering work in developing methods for using computers to predict how proteins fold, whereby their shape reveals important reactive properties such as electrostatic potential and hydrophobicity.

A new artificial intelligence model developed by researchers at The University of Texas at Austin paves the way for more effective and less toxic treatments and new preventive strategies in medicine. The AI model informs the design of protein-based therapies and vaccines by leveraging the underlying logic from nature’s evolutionary processes.