For the first time, scientists have mapped vast, continent-scale river drainage systems on Mars — ancient networks that may also be among the most promising places to search for signs of past life.

An international research team, aided by artificial intelligence, has achieved a breakthrough toward developing a more effective method to combat the monkeypox virus, which poses severe risks to vulnerable populations.

Across the University, researchers are developing the next big breakthroughs in the prevention, treatment or cure of Alzheimer’s and other dementia-related conditions.

Whole Communities–Whole Health Researchers Use Hair To Trace a Detailed Chemical Record of Pollution Exposure

Known as near-infrared photothermal therapy, this light-based treatment promises to cause less damage to healthy cells than chemotherapy.

Nine University of Texas Austin faculty members representing a variety of disciplines, colleges and schools have been selected as recipients of the 2025-2026 Research & Creative Grants.

Engineers at The University of Texas at Austin are leading an academic and industry all-star team that aims to revolutionize the production of semiconductor chips with a new 3D printing method. The new approach, which the researchers are calling Holographic Metasurface Nano-Lithography (HMNL), aims for faster, more efficient and environmentally friendly production of advanced electronics.

Eleven faculty members from The University of Texas at Austin have been selected by the National Science Foundation to receive Faculty Early Career Development Program (CAREER) Awards.

As artificial intelligence continues to shape daily life, Good Systems is bridging interconnected themes to study its social and ethical impacts. Last year, the initiative introduced cross-cutting themes to link its six core research projects and explore questions that span multiple fields.

A research team led by UT Austin professor Omar Ghattas has been awarded the 2025 Association for Computing Machinery Gordon Bell Prize for pioneering real-time tsunami forecasting.