Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (2)
- Biology and Environment (77)
- Clean Energy (48)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (27)
- Fusion Energy (13)
- Isotopes (5)
- Materials (52)
- Materials for Computing (8)
- National Security (26)
- Neutron Science (23)
- Nuclear Science and Technology (12)
- Quantum information Science (4)
- Supercomputing (79)
News Topics
- (-) Bioenergy (92)
- (-) Biomedical (59)
- (-) Cybersecurity (35)
- (-) Fusion (55)
- (-) ITER (7)
- (-) Microscopy (51)
- (-) Simulation (49)
- (-) Summit (59)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Artificial Intelligence (95)
- Big Data (58)
- Biology (100)
- Biotechnology (23)
- Buildings (59)
- Chemical Sciences (67)
- Clean Water (30)
- Climate Change (101)
- Composites (29)
- Computer Science (194)
- Coronavirus (46)
- Critical Materials (28)
- Decarbonization (81)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (110)
- Environment (197)
- Exascale Computing (39)
- Fossil Energy (6)
- Frontier (44)
- Grid (65)
- High-Performance Computing (88)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- Machine Learning (48)
- Materials (144)
- Materials Science (143)
- Mathematics (9)
- Mercury (12)
- Microelectronics (3)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (66)
- Net Zero (14)
- Neutron Science (131)
- Nuclear Energy (109)
- Partnerships (48)
- Physics (63)
- Polymers (33)
- Quantum Computing (35)
- Quantum Science (69)
- Renewable Energy (2)
- Security (24)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Sustainable Energy (129)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
ORNL will lead a new DOE-funded project designed to accelerate bringing fusion energy to the grid. The Accelerate award focuses on developing a fusion power plant design concept that supports remote maintenance and repair methods for the plasma-facing components in fusion power plants.
Two fusion energy leaders have joined ORNL in the Fusion and Fission Energy and Science Directorate, or FFESD.
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%.
On Nov. 1, about 250 employees at Oak Ridge National Laboratory gathered in person and online for Quantum on the Quad, an event designed to collect input for a quantum roadmap currently in development. This document will guide the laboratory's efforts in quantum science and technology, including strategies for expanding its expertise to all facets of the field.
Scientists from more than a dozen institutions have completed a first-of-its-kind high-resolution assessment of carbon dioxide removal potential in the United States, charting a path to achieve a net-zero greenhouse gas economy by 2050.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
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.
ORNL is leading three research collaborations with fusion industry partners through the Innovation Network for FUSion Energy, or INFUSE, program that will focus on resolving technical challenges and developing innovative solutions to make practical fusion energy a reality.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.