Filter News
Area of Research
- Advanced Manufacturing (18)
- Biology and Environment (10)
- Building Technologies (1)
- Clean Energy (53)
- Fusion and Fission (4)
- Fusion Energy (7)
- Materials (22)
- Materials for Computing (4)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (5)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (76)
- (-) Advanced Reactors (23)
- (-) Molten Salt (8)
- Artificial Intelligence (47)
- Big Data (24)
- Bioenergy (39)
- Biology (40)
- Biomedical (28)
- Biotechnology (11)
- Buildings (35)
- Chemical Sciences (43)
- Clean Water (15)
- Climate Change (46)
- Composites (20)
- Computer Science (100)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (74)
- Environment (81)
- Exascale Computing (11)
- Fossil Energy (2)
- Frontier (16)
- Fusion (25)
- Grid (37)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (25)
- Materials (94)
- Materials Science (86)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (78)
- Nuclear Energy (46)
- Partnerships (30)
- Physics (28)
- Polymers (21)
- Quantum Computing (14)
- Quantum Science (37)
- Renewable Energy (1)
- Security (13)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (61)
Media Contacts
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
ORNL is working with industry partners to develop a technique that combines 3D printing and conventional machining to produce large metal parts for clean energy applications. The project, known as Rapid Research on Universal Near Net Shape Fabrication Strategies for Expedited Runner Systems, or Rapid RUNNERS, recently received $15 million in funding from DOE.
Researchers for the first time documented the specific chemistry dynamics and structure of high-temperature liquid uranium trichloride salt, a potential nuclear fuel source for next-generation reactors.
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
An Oak Ridge National Laboratory-developed advanced manufacturing technology, AMCM, was recently licensed by Orbital Composites and enables the rapid production of composite-based components, which could accelerate the decarbonization of vehicles
Oak Ridge National Laboratory researchers have conducted a comprehensive life cycle, cost and carbon emissions analysis on 3D-printed molds for precast concrete and determined the method is economically beneficial compared to conventional wood molds.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine