Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (8)
- Clean Energy (55)
- Computer Science (3)
- Fusion and Fission (4)
- Fusion Energy (1)
- Materials (34)
- Materials for Computing (4)
- National Security (6)
- Neutron Science (9)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (26)
News Type
News Topics
- (-) Advanced Reactors (10)
- (-) Energy Storage (41)
- (-) Exascale Computing (9)
- (-) Grid (15)
- (-) Quantum Science (26)
- (-) Sustainable Energy (31)
- (-) Transportation (25)
- 3-D Printing/Advanced Manufacturing (44)
- Artificial Intelligence (29)
- Big Data (8)
- Bioenergy (24)
- Biology (22)
- Biomedical (17)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (29)
- Clean Water (1)
- Climate Change (22)
- Composites (9)
- Computer Science (57)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (19)
- Education (3)
- Element Discovery (1)
- Environment (36)
- Fossil Energy (1)
- Frontier (14)
- Fusion (14)
- High-Performance Computing (26)
- Isotopes (17)
- ITER (2)
- Machine Learning (13)
- Materials (59)
- Materials Science (50)
- Mercury (2)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Partnerships (27)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Space Exploration (3)
- Statistics (2)
- Summit (20)
- Transformational Challenge Reactor (4)
Media Contacts
A team of researchers associated with the Quantum Science Center headquartered at the Department of Energy's Oak Ridge National Laboratory has confirmed the presence of quantum spin liquid behavior in a new material with a triangular lattice, KYbSe2.
The Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.