Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (23)
- Clean Energy (61)
- Computational Biology (2)
- Computer Science (1)
- Fusion and Fission (3)
- Isotopes (3)
- Materials (32)
- Materials for Computing (7)
- National Security (13)
- Neutron Science (8)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
- Supercomputing (34)
- Transportation Systems (2)
News Type
News Topics
- (-) Cybersecurity (17)
- (-) High-Performance Computing (51)
- (-) Microscopy (30)
- (-) Polymers (15)
- (-) Space Exploration (21)
- (-) Transportation (61)
- 3-D Printing/Advanced Manufacturing (64)
- Advanced Reactors (20)
- Artificial Intelligence (53)
- Big Data (36)
- Bioenergy (63)
- Biology (70)
- Biomedical (37)
- Biotechnology (13)
- Buildings (34)
- Chemical Sciences (28)
- Clean Water (27)
- Climate Change (66)
- Composites (14)
- Computer Science (117)
- Coronavirus (28)
- Critical Materials (12)
- Decarbonization (49)
- Emergency (2)
- Energy Storage (58)
- Environment (143)
- Exascale Computing (23)
- Fossil Energy (4)
- Frontier (22)
- Fusion (37)
- Grid (41)
- Hydropower (11)
- Irradiation (2)
- Isotopes (28)
- ITER (5)
- Machine Learning (29)
- Materials (73)
- Materials Science (69)
- Mathematics (6)
- Mercury (10)
- Microelectronics (2)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (33)
- Net Zero (8)
- Neutron Science (70)
- Nuclear Energy (68)
- Partnerships (13)
- Physics (29)
- Quantum Computing (19)
- Quantum Science (35)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Statistics (1)
- Summit (36)
- Sustainable Energy (81)
- Transformational Challenge Reactor (3)
Media Contacts
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
ORNL’s Omer Onar and Mostak Mohammad will present on ORNL's wireless charging technology in DOE’s Office of Technology Transitions National Lab Discovery Series Tuesday, April 30.
College intern Noah Miller is on his 3rd consecutive internship at ORNL, currently working on developing an automated pellet inspection system for Oak Ridge National Laboratory’s Plutonium-238 Supply Program. Along with his success at ORNL, Miller is also focusing on becoming a mentor for kids, giving back to the place where he discovered his passion and developed his skills.
A team of researchers at ORNL demonstrated that a light-duty passenger electric vehicle can be wirelessly charged at 100-kW with 96% efficiency using polyphase electromagnetic coupling coils with rotating magnetic fields.
Since 2019, a team of NASA scientists and their partners have been using NASA’s FUN3D software on supercomputers located at the Department of Energy’s Oak Ridge Leadership Computing Facility to conduct computational fluid dynamics simulations of a human-scale Mars lander. The team’s ongoing research project is a first step in determining how to safely land a vehicle with humans onboard onto the surface of Mars.
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide