Filter News
Area of Research
- (-) Clean Energy (67)
- Advanced Manufacturing (6)
- Biology and Environment (60)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (12)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (130)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (24)
- Neutron Science (43)
- Nuclear Science and Technology (15)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Supercomputing (82)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (6)
- (-) Big Data (5)
- (-) Climate Change (21)
- (-) Fossil Energy (2)
- (-) Machine Learning (7)
- (-) Materials Science (26)
- (-) Nanotechnology (8)
- (-) Physics (1)
- (-) Quantum Science (2)
- 3-D Printing/Advanced Manufacturing (78)
- Artificial Intelligence (8)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Composites (17)
- Computer Science (25)
- Coronavirus (12)
- Critical Materials (9)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Frontier (2)
- Fusion (1)
- Grid (40)
- High-Performance Computing (6)
- Hydropower (2)
- Isotopes (1)
- Materials (35)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- National Security (5)
- Net Zero (3)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (12)
- Polymers (11)
- Renewable Energy (1)
- Security (6)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Summit (4)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (65)
Media Contacts
Four research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received 2020 R&D 100 Awards.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
Oak Ridge National Laboratory scientists evaluating northern peatland responses to environmental change recorded extraordinary fine-root growth with increasing temperatures, indicating that this previously hidden belowground mechanism may play an important role in how carbon-rich peatlands respond to warming.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Scientists at Oak Ridge National Laboratory have demonstrated a direct relationship between climate warming and carbon loss in a peatland ecosystem.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.
The Department of Energy’s Office of Science has selected three Oak Ridge National Laboratory scientists for Early Career Research Program awards.
Giri Prakash, data informatics scientist and director of the Department of Energy’s Atmospheric Radiation Measurement Data Center at Oak Ridge National Laboratory, has accepted an invitation from the National Academies of Sciences, Engineering, and Medicine to serve a four-year term on the U.S. National Committee for CODATA.