Filter News
Area of Research
- (-) Biology and Environment (122)
- (-) Clean Energy (136)
- Advanced Manufacturing (4)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (6)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (89)
- Materials for Computing (15)
- Mathematics (1)
- National Security (30)
- Neutron Science (106)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (96)
- Transportation Systems (1)
News Topics
- (-) Climate Change (58)
- (-) Decarbonization (47)
- (-) Environment (136)
- (-) Grid (41)
- (-) Machine Learning (14)
- (-) Mercury (10)
- (-) Nanotechnology (11)
- (-) Neutron Science (15)
- (-) Space Exploration (3)
- (-) Summit (13)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (6)
- Artificial Intelligence (15)
- Big Data (14)
- Bioenergy (65)
- Biology (79)
- Biomedical (20)
- Biotechnology (16)
- Buildings (36)
- Chemical Sciences (18)
- Clean Water (19)
- Composites (19)
- Computer Science (41)
- Coronavirus (22)
- Critical Materials (9)
- Cybersecurity (9)
- Energy Storage (73)
- Exascale Computing (6)
- Fossil Energy (2)
- Frontier (5)
- Fusion (2)
- High-Performance Computing (23)
- Hydropower (9)
- Isotopes (2)
- Materials (39)
- Materials Science (29)
- Mathematics (5)
- Microelectronics (1)
- Microscopy (15)
- Molten Salt (1)
- National Security (7)
- Net Zero (5)
- Nuclear Energy (7)
- Partnerships (12)
- Physics (2)
- Polymers (12)
- Quantum Science (2)
- Renewable Energy (2)
- Security (6)
- Simulation (17)
- Statistics (1)
- Sustainable Energy (93)
- Transformational Challenge Reactor (3)
- Transportation (66)
Media Contacts
Popular wisdom holds tall, fast-growing trees are best for biomass, but new research by two U.S. Department of Energy national laboratories reveals that is only part of the equation.
Four research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received 2020 R&D 100 Awards.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.
A team led by ORNL created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward in understanding how the reaction occurs and how mercury cycles through the environment.
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.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.
Scientists at Oak Ridge National Laboratory have demonstrated a direct relationship between climate warming and carbon loss in a peatland ecosystem.