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With new cases, hospitalizations and mortality rates holding steady in many parts of the world, University of Georgia researchers have developed a faster detection technique for COVID-19.  In a new study published in Advanced Materials Interface, the UGA research team describes the rapid diagnostic test for SARS-CoV-2 detection and quantification directly from human nasopharyngeal swabs using surface-enhanced Raman spectroscopy…


Researchers unveil faster, more accurate COVID testing technique

J. Hom et al. (2024, MNRAS, 528, 6959), "A uniform analysis of debris discs with the Gemini Planet Imager II: constraints on dust density distribution using empirically informed scattering phase functions


J. Hom et al. (2024, MNRAS, 528, 6959), "A uniform analysis of debris discs with the Gemini Planet Imager II: constraints on dust density distribution using empirically informed scattering phase functions

Students from Dr. Phillip Stancil's PHYS 1312 class! Sophomores Sam Penkava (left) and Clay Reece (right) as Oppenheimer and Einstein Astrophysics/Spanish and Physics/Astrophysics majors


Halloween photos

A person with COVID-19 might transmit SARS-CoV-2 to domestic cats and dogs (and perhaps other pets) in the same way that an infected animal could possibly transmit it to another individual. In addition, lions, tigers, pumas, snow leopards and non-human primates from zoos or wildlife refuges in the U.S. and other countries have been confirmed infected with SARS-CoV-2, while infections have also been reported in white-tailed deer, both wild and…


UGA research team receives USDA APHIS funding for development of a rapid diagnostics platform for SARS-CoV-2

Scientists know enough about exoplanets to speculate about how simple plants might arise on them. But don't count on them being green. https://www.wired.com/story/what-will-plants-be-like-on-alien-worlds/        


What Will Plants Be Like on Alien Worlds?

AIKEN, S.C. – George Larsen and his project “Hydrogen Process Imagine Using Magnetic Fields” received this year’s Savannah River National Laboratory (SRNL) Laboratory Directed Research and Development (LDRD) Most Valuable Project (MVP) Award. The LDRD MVP is awarded annually and recognizes the SRNL LDRD project that generated the highest return on investment during the previous five-year period. Project selection is based on 12 objective…


Hydrogen Project Wins Savannah River National Laboratory’s Most Valuable Project Award

  Dr. Simona Hunyadi Murph, an adjunct professor at the University of Georgia and a Fellow Scientist at Savannah River National Laboratory (SRNL), was selected as the 2023 SRNL Inventor of the Year. This award recognizes inventors who have made significant scientific or engineering contributions that have important societal or financial impact while advancing the reputation of Battelle as a leading provider of innovative solutions to…
Simona Hunyadi Murph

Simona Hunyadi Murph
2023 SRNL Inventor of the Year Award

In its second round of funding the Gordon and Betty Moore Foundation Experimental Physics Investigators Initiative has awarded grants to support twenty-one experimental physicists. Each investigator will receive $1,250,000 over the next five years to advance the scientific frontier in experimental physics.  Supporting creative and innovative research ideas One of the aims of the initiative is to support experimental physicists who…


Advancing the scientific frontier: 2023 Experimental Physics Investigators

Imitating the astonishing energy efficiency phenomena of the human brain presents the next challenge in high-speed computing. Potential solutions might combine new quantum functionality that arise from nano-scale complex materials to replicate brain-like performance, or neuromorphic computing. Yohannes Abate, Susan Dasher and Charles Dasher MD Professor of Physics in the Franklin College of Arts and Sciences department of physics and…


UGA faculty awarded Moore Foundation grant to investigate 'brain on a chip'

University of Georgia Department of Physics and Astronomy Join Prof. Yiping Zhao’s dynamic research group at the prestigious University of Georgia! We are seeking a highly motivated and skilled PhD student to take up a full-time Research Assistant position starting as early as August 15, 2023, with the possibility of renewal for two years. About the Role: As a Research Assistant, you will delve into the fascinating world of biological sensor…


Exciting Graduate Research Assistantship Opportunity in Data Analysis and Machine Learning for Biological Sensor Applications!

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