Filter News
Area of Research
- (-) Clean Energy (94)
- Advanced Manufacturing (10)
- Biology and Environment (70)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (33)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (101)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- National Security (33)
- Neutron Science (40)
- Nuclear Science and Technology (24)
- Sensors and Controls (1)
- Supercomputing (66)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (50)
- (-) Advanced Reactors (5)
- (-) Artificial Intelligence (6)
- (-) Biology (9)
- (-) Grid (22)
- (-) Materials Science (15)
- (-) Nuclear Energy (6)
- (-) Physics (1)
- (-) Security (6)
- Big Data (1)
- Bioenergy (24)
- Biomedical (5)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (13)
- Clean Water (4)
- Climate Change (14)
- Composites (7)
- Computer Science (16)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (8)
- Decarbonization (25)
- Energy Storage (46)
- Environment (31)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Isotopes (1)
- Machine Learning (4)
- Materials (22)
- Mathematics (1)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (5)
- Net Zero (2)
- Neutron Science (9)
- Partnerships (12)
- Polymers (6)
- Quantum Science (2)
- Renewable Energy (1)
- Simulation (2)
- Space Exploration (1)
- Summit (4)
- Sustainable Energy (38)
- Transformational Challenge Reactor (3)
- Transportation (34)
Media Contacts
The Department of Energy’s Center for Bioenergy Innovation, led by Oak Ridge National Laboratory, recently added three new members to its board of directors: Deborah Crawford of the University of Tennessee, Knoxville; Susan Hubbard of ORNL; and Maureen McCann of the National Renewable Energy Laboratory.
Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab.
Three researchers at ORNL have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
A new deep-learning framework developed at ORNL is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The reduced costs for time, labor, maintenance and energy are expected to accelerate expansion of additive manufacturing, or 3D printing.
Researchers at ORNL recently demonstrated a new technology to better control how power flows to and from commercial buildings equipped with solar, wind or other renewable energy generation.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
ORNL has been selected to lead an Energy Frontier Research Center, or EFRC, focused on polymer electrolytes for next-generation energy storage devices such as fuel cells and solid-state electric vehicle batteries.
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
As climate change leads to larger and more frequent wildfires, researchers at ORNL are using sensors, drones and machine learning to both prevent fires and reduce their damage to the electric grid.