Filter News
Area of Research
- Advanced Manufacturing (20)
- Biology and Environment (23)
- Building Technologies (3)
- Clean Energy (102)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (11)
- Fusion Energy (9)
- Materials (45)
- Materials for Computing (9)
- National Security (6)
- Neutron Science (10)
- Nuclear Science and Technology (8)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (21)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (76)
- (-) Fusion (26)
- (-) Grid (37)
- (-) Molten Salt (8)
- (-) Quantum Science (37)
- (-) Sustainable Energy (75)
- Advanced Reactors (24)
- Artificial Intelligence (48)
- 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 (101)
- 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)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (25)
- Materials (94)
- Materials Science (87)
- 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)
- Renewable Energy (1)
- Security (13)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Transformational Challenge Reactor (4)
- Transportation (61)
Media Contacts
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
A new technical collaboration program at the Department of Energy’s Oak Ridge National Laboratory will help businesses develop and launch electric grid innovations. Sponsored by the Transformer Resilience and Advanced Components program in DOE’s Office of Electricity, the initiative will provide companies with access to national laboratory resources, enabling them to capture market opportunities.
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.
ORNL is the lead partner on five research collaborations with private fusion companies in the 2024 cohort of the Innovation Network for FUSion Energy, or INFUSE, program. These collaborative projects are intended to resolve technical hurdles and develop enabling technologies to accelerate fusion energy research in the private sector.
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.
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
John joined the MPEX project in 2019 and has served as project manager for several organizations within ORNL.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.