Filter News
Area of Research
News Topics
- (-) Biotechnology (5)
- (-) Machine Learning (1)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Big Data (5)
- Bioenergy (13)
- Biology (23)
- Biomedical (10)
- Buildings (13)
- Chemical Sciences (7)
- Clean Water (8)
- Climate Change (11)
- Composites (6)
- Computer Science (30)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (5)
- Decarbonization (7)
- Energy Storage (22)
- Environment (39)
- Exascale Computing (2)
- Frontier (4)
- Fusion (8)
- Grid (11)
- High-Performance Computing (19)
- Isotopes (12)
- ITER (4)
- Materials (32)
- Materials Science (22)
- Mathematics (1)
- Mercury (3)
- Microscopy (10)
- Nanotechnology (10)
- National Security (7)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (6)
- Physics (3)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (12)
- Security (3)
- Space Exploration (4)
- Statistics (1)
- Summit (9)
- Sustainable Energy (35)
- Transportation (21)
Media Contacts
Detecting the activity of CRISPR gene editing tools in organisms with the naked eye and an ultraviolet flashlight is now possible using technology developed at ORNL.
Carrie Eckert applies her skills as a synthetic biologist at ORNL to turn microorganisms into tiny factories that produce a variety of valuable fuels, chemicals and materials for the growing bioeconomy.
As a metabolic engineer at Oak Ridge National Laboratory, Adam Guss modifies microbes to perform the diverse processes needed to make sustainable biofuels and bioproducts.
In a step toward increasing the cost-effectiveness of renewable biofuels and bioproducts, scientists at ORNL discovered a microbial enzyme that degrades tough-to-break bonds in lignin, a waste product of biorefineries.
A research team led by Oak Ridge National Laboratory bioengineered a microbe to efficiently turn waste into itaconic acid, an industrial chemical used in plastics and paints.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.