Filter News
Area of Research
- (-) Materials (115)
- (-) Nuclear Science and Technology (11)
- (-) Supercomputing (59)
- Advanced Manufacturing (22)
- Biology and Environment (101)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (145)
- Climate and Environmental Systems (5)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (25)
- Materials Characterization (1)
- Materials for Computing (17)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (11)
- Neutron Science (35)
- Transportation Systems (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (28)
- (-) Environment (35)
- (-) Exascale Computing (22)
- (-) Isotopes (16)
- (-) Materials Science (84)
- Advanced Reactors (15)
- Artificial Intelligence (38)
- Big Data (19)
- Bioenergy (18)
- Biology (14)
- Biomedical (23)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (21)
- Composites (9)
- Computer Science (99)
- Coronavirus (17)
- Critical Materials (15)
- Cybersecurity (9)
- Decarbonization (11)
- Energy Storage (37)
- Frontier (28)
- Fusion (16)
- Grid (9)
- High-Performance Computing (40)
- Irradiation (1)
- ITER (1)
- Machine Learning (14)
- Materials (79)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (7)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Neutron Science (46)
- Nuclear Energy (52)
- Partnerships (11)
- Physics (36)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (6)
- Simulation (14)
- Software (1)
- Space Exploration (10)
- Summit (42)
- Sustainable Energy (19)
- Transformational Challenge Reactor (5)
- Transportation (19)
Media Contacts
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
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.
In response to a renewed international interest in molten salt reactors, researchers from the Department of Energy’s Oak Ridge National Laboratory have developed a novel technique to visualize molten salt intrusion in graphite.
Little of the mixed consumer plastics thrown away or placed in recycle bins actually ends up being recycled. Nearly 90% is buried in landfills or incinerated at commercial facilities that generate greenhouse gases and airborne toxins. Neither outcome is ideal for the environment.
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.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.