Filter News
Area of Research
- (-) Clean Energy (89)
- (-) Computational Engineering (2)
- (-) Neutron Science (17)
- Advanced Manufacturing (6)
- Biology and Environment (47)
- Building Technologies (2)
- Computational Biology (2)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (39)
- Materials for Computing (11)
- National Security (17)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (82)
News Topics
- (-) Artificial Intelligence (15)
- (-) Polymers (12)
- (-) Space Exploration (6)
- (-) Summit (10)
- (-) Sustainable Energy (69)
- 3-D Printing/Advanced Manufacturing (82)
- Advanced Reactors (6)
- Big Data (8)
- Bioenergy (30)
- Biology (17)
- Biomedical (19)
- Biotechnology (5)
- Buildings (38)
- Chemical Sciences (17)
- Clean Water (10)
- Climate Change (22)
- Composites (18)
- Computer Science (37)
- Coronavirus (20)
- Critical Materials (9)
- Cybersecurity (9)
- Decarbonization (34)
- Energy Storage (75)
- Environment (59)
- Exascale Computing (2)
- Fossil Energy (3)
- Frontier (3)
- Fusion (2)
- Grid (40)
- High-Performance Computing (9)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (11)
- Materials (46)
- Materials Science (48)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (7)
- Net Zero (3)
- Neutron Science (102)
- Nuclear Energy (9)
- Partnerships (12)
- Physics (10)
- Quantum Computing (1)
- Quantum Science (8)
- Renewable Energy (1)
- Security (8)
- Simulation (4)
- Statistics (1)
- Transformational Challenge Reactor (3)
- Transportation (68)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Yarom Polsky, director of the Manufacturing Science Division, or MSD, at the Department of Energy’s Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Mechanical Engineers, or ASME.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
A new report published by ORNL assessed how advanced manufacturing and materials, such as 3D printing and novel component coatings, could offer solutions to modernize the existing fleet and design new approaches to hydropower.
Scientists at ORNL developed a competitive, eco-friendly alternative made without harmful blowing agents.
ORNL is teaming with the National Energy Technology Laboratory to jointly explore a range of technology innovations for carbon management and strategies for economic development and sustainable energy transitions in the Appalachian region.
ORNL researchers Ben Ollis and Max Ferrari will be in Adjuntas to join the March 18 festivities but also to hammer out more technical details of their contribution to the project: making the microgrids even more reliable.
David McCollum, a senior scientist at the ORNL and lead for the lab’s contributions to the Net Zero World Initiative, was one of more than 35,000 attendees in Egypt at the November 2022 Sharm El-Sheikh United Nations Framework Convention on Climate Change, or UNFCCC, Conference of the Parties, also known as COP27.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.