Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (43)
- Building Technologies (2)
- Clean Energy (81)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (2)
- Isotopes (24)
- Materials (43)
- Materials for Computing (11)
- National Security (5)
- Neutron Science (9)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (53)
News Topics
- (-) Isotopes (46)
- (-) Polymers (31)
- (-) Summit (57)
- (-) Sustainable Energy (117)
- 3-D Printing/Advanced Manufacturing (116)
- Advanced Reactors (33)
- Artificial Intelligence (82)
- Big Data (49)
- Bioenergy (88)
- Biology (93)
- Biomedical (56)
- Biotechnology (21)
- Buildings (54)
- Chemical Sciences (57)
- Clean Water (29)
- Climate Change (92)
- Composites (25)
- Computer Science (181)
- Coronavirus (46)
- Critical Materials (23)
- Cybersecurity (35)
- Decarbonization (73)
- Education (3)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (106)
- Environment (190)
- Exascale Computing (34)
- Fossil Energy (5)
- Frontier (39)
- Fusion (52)
- Grid (59)
- High-Performance Computing (80)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (43)
- Materials (139)
- Materials Science (131)
- Mathematics (6)
- Mercury (12)
- Microelectronics (2)
- Microscopy (50)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (54)
- Net Zero (11)
- Neutron Science (127)
- Nuclear Energy (102)
- Partnerships (38)
- Physics (58)
- Quantum Computing (28)
- Quantum Science (65)
- Renewable Energy (2)
- Security (23)
- Simulation (42)
- Software (1)
- Space Exploration (24)
- Statistics (2)
- Transformational Challenge Reactor (7)
- Transportation (93)
Media Contacts
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
Michael McGuire’s recognition as the Oak Ridge National Laboratory's top scientist headlined the annual awards. ORNL Director Stephen Streiffer also presented Director’s Awards to two teams, for operational performance and continuous improvement, and to the night’s science communicator awardee
Raina Setzer knows the work she does matters. That’s because she’s already seen it from the other side. Setzer, a radiochemical processing technician in Oak Ridge National Laboratory’s Isotope Processing and Manufacturing Division, joined the lab in June 2023.
In response to a renewed international interest in molten salt reactors, researchers from the Department of Energy’s Oak Ridge National Laboratory have developed a novel technique to visualize molten salt intrusion in graphite.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
The Oak Ridge Leadership Computing Facility, a Department of Energy Office of Science user facility at ORNL, is pleased to announce a new allocation program for computing time on the IBM AC922 Summit supercomputer.
Researchers at the Department of Energy’s Oak Ridge National Laboratory are leading the way in understanding the effects of electrical faults in the modern U.S. power grid.