Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean.
Zhigang Peng and graduate students Phuc Mach and Chang Ding are using small seismic sensors to better understand just how, why, and when certain earthquakes are occurring.
Researchers at the Georgia Institute of Technology and Yale University are proposing a novel pathway through which coastal ecosystem restoration can permanently capture carbon dioxide from the atmosphere.
Led by School of Earth and Atmospheric Sciences Professor Greg Huey, the NSF RAPID grant is for analyzing air chemistry data collected during a three-week span when a chemical plume impacted the Atlanta area.
The Georgia Tech-led study captures two lizard species adapting in response to competition. The study provides some of the clearest evidence to date of evolution in action.
A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists might play.
