Filter News
Area of Research
- Advanced Manufacturing (20)
- Biology and Environment (31)
- Building Technologies (3)
- Clean Energy (121)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Energy Sciences (1)
- Fusion and Fission (12)
- Fusion Energy (11)
- Isotopes (2)
- Materials (41)
- Materials for Computing (8)
- National Security (9)
- Neutron Science (15)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (24)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (76)
- (-) Advanced Reactors (24)
- (-) Big Data (24)
- (-) Biomedical (28)
- (-) Fusion (26)
- (-) Sustainable Energy (75)
- (-) Transportation (61)
- Artificial Intelligence (48)
- Bioenergy (39)
- Biology (40)
- 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)
- Grid (37)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (25)
- Materials (95)
- Materials Science (87)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (8)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (78)
- Nuclear Energy (46)
- Partnerships (30)
- Physics (28)
- Polymers (21)
- Quantum Computing (15)
- Quantum Science (38)
- Renewable Energy (1)
- Security (13)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Transformational Challenge Reactor (4)
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.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
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.
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.
Researchers at ORNL have successfully demonstrated the first 270-kW wireless power transfer to a light-duty electric vehicle. The demonstration used a Porsche Taycan and was conducted in collaboration with Volkswagen Group of America using the ORNL-developed polyphase wireless charging system.
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.