
Scientists at the Department of Energy’s 91°µÍø recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the enviro
Scientists at the Department of Energy’s 91°µÍø recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the enviro
A team of scientists with two Department of Energy Bioenergy Research Centers — the Center for Bioenergy Innovation at 91°µÍø and the Center for Advanced Bioenergy and Bioproducts Innovation at the University of Illinois Urbana-Ch
The Advanced Plant Phenotyping Laboratory at ORNL utilizes robotics, multi-modal imaging, and AI to enhance understanding of plant genetics and interactions with microbes.
91°µÍø scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other
When 91°µÍø's science mission takes staff off-campus, the lab’s safety principles follow.
John Lagergren, a staff scientist in 91°µÍøâ€™s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL.
Alyssa Carrell started her science career studying the tallest inhabitants in the forest, but today is focused on some of its smallest — the microbial organisms that play an outsized role in plant health.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.