Wind, solar could replace coal power in Texas
A fraction of the wind and solar projects already proposed in Texas could eliminate the state's remaining coal power plants and their emissions, according...
Classifying weather to tease out how aerosols influence storms
A new study used artificial intelligence to analyze 10 years of weather data collected over southeastern Texas to identify three major categories of weather...
Vegetable oil emissions study reveals urgent need for greener growing solutions
A new global study has revealed the extent of greenhouse gas (GHG) emissions caused by vegetable oil production, highlighting the need for more sustainable...
COVID-19 pandemic fueled massive growth in green industry
The COVID-19 pandemic hasn't been a great couple of years. But for the green industry, like plant nurseries and greenhouses, it's been a boon....
Identifying toxic materials in water with machine learning
Waste materials from oil sands extraction, stored in tailings ponds, can pose a risk to the natural habitat and neighboring communities when they leach...
New ways to improve urban wetlands
New studies provide valuable insights into removing toxins from polluted waterways and improving filtration at urban wetlands. One study found a wetland plant capable...
New technology to make charging electric cars as fast as pumping gas
New technology to make charging electric cars as fast as pumping gas. Quantum charging will cut the charging time of electric vehicles from ten...
Different climate response persistence causes warming trend unevenness at continental scales
Nature Climate Change, Published online: 21 March 2022; doi:10.1038/s41558-022-01313-9Observations show that China is undergoing greater warming than the United States, yet climate models fail...
Conversion process turns pollution into cash
Engineers have developed a promising electrochemical system to convert emissions from chemical and power plants into useful products while addressing climate change.
Artificial intelligence paves the way to discovering new rare-earth compounds
Artificial intelligence advances how scientists explore materials. Researchers trained a machine-learning (ML) model to assess the stability of rare-earth compounds. The framework they developed...




















