Research Highlights
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Herring Tackles Climate Change with Multiphase Research
Anna Herring studies multiphase reactions affecting underground storage of CO2. Could the same technology help hydrogen gas smooth the transition to renewable energy?
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New PET/CT Equipment Gives UT a Unique Advantage
The Department of Nuclear Engineering, UT Vet School, and UT Oak Ridge Institute purchased new PET and CT imaging equipment to expand preclinical capabilities.
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UT Awarded $2.8 Million DOE Grant to Modernize the Nation’s Electric Power Grid
UT has been awarded a grant from the DoE to help modernize the nation’s power grid by developing light-triggered semiconductor switch modules.
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UT Team Uses AI to Improve Sepsis Detection and Effective Treatment
A team of researchers developed a novel approach using an artificial intelligence model to better predict a sepsis diagnosis in patients.
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TCE Faculty and Researchers Receive UTRF Innovation Awards
TCE faculty and researchers were recognized at the UT Research Foundation’s Innovation Awards for new patents, start-ups, and technologies.
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Quantum Dots Light Up the Way to a Brighter World
UT-ORNL Governor’s Chair of Advanced and Nanostructured Materials Rigoerto Advincula discussed recent accomplishments around quantum dots and how they affect daily lives.
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Ninety-three Researchers From College Make World’s Top-Cited Scientists Lists
More than 70 college faculty and researchers made this year’s list of the world’s top 2 percent of most cited scientists in their fields.
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Five TCE Scientists Ranked as Clarivate Highly Cited Researchers
Five researchers from the Tickle College of Engineering appeared on Clarivate’s 2023 High Cited Researchers list.
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Reimagining the Urban Jungle
To battle urban heat islands, 2023 DARPA Young Faculty Award winner Nick Zhou is developing PhantoM—a bioreceptive material that could turn skyscrapers into gardens.
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Making AI Sleep More Like Humans
Professor Garrett Rose is part of an interdisciplinary team of researchers that was awarded a grant to study the gap between human brain processing efficiency and the limitations of current artificial intelligence models.