Research

Scientists Encode “Wizard of Oz” in a Vanishingly Small Plastic

Can complex data be hidden inside chemical structures?

Research

Devleena Samanta Invents Ways to Detect Molecules in Living Cells

Learn more about Devleena Samanta's decision to join UT Austin's Department of Chemistry in fall 2021 and what her research focuses on.

The Texas Scientist

Charging Ahead: The Path to a Clean Energy Future

Clean energy research from UT Austin scientists holds disruptive potential. It comes just as new technologies are needed most.

Research

When Good RNA Turns Bad

Biophysicist Dave Thirumalai and his team developed a computer model that helps explain how certain kinds of RNA molecules can clump together in a way that is correlated with neurological disorders

Accolades

Sessler Elected to American Academy of Arts & Sciences

Jonathan Sessler of UT Austin joins 22 others on the College of Natural Sciences faculty who have been elected to the American Academy.

Texas Scientist

Charging Ahead

Chemists and physicists are making steady progress on developing new materials that may prove key for our future energy needs.

Accolades

Zak Page Named a 2022 Cottrell Scholar

For Zachariah Page's research in materials chemistry, he has been selected as a 2022 Cottrell Scholar.

UT News

David Vanden Bout Appointed Dean of the College of Natural Sciences

Vanden Bout has served in top College of Natural Sciences leadership posts since 2014, both as associate dean for undergraduate education and, since 2018, as senior associate dean, overseeing significant gains for students and for UT Austin resaerchers.

Research

Sodium-based Material Yields Stable Alternative to Lithium-ion Batteries

A new sodium-based battery material is highly stable, capable of recharging as quickly as a lithium-ion battery and might deliver more energy than current battery technologies.

Research

New Model Reveals How Chromosomes Get Packed Up

The first theoretical model of condensin, a molecular machine involved in packing and unpacking chromosomes, accurately reproduces all known experiments with just two parameters.