Filter News
Area of Research
- (-) Clean Energy (68)
- (-) Supercomputing (65)
- Advanced Manufacturing (7)
- Biology and Environment (59)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (4)
- Materials (91)
- Materials Characterization (2)
- Materials for Computing (15)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (25)
- Neutron Science (22)
News Topics
- (-) Artificial Intelligence (41)
- (-) Climate Change (35)
- (-) Machine Learning (19)
- (-) Materials (45)
- (-) Polymers (13)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (7)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (22)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Composites (17)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (12)
- Cybersecurity (14)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (2)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (1)
- Materials Science (40)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (11)
- Net Zero (4)
- Neutron Science (20)
- Nuclear Energy (11)
- Partnerships (12)
- Physics (7)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (69)
Media Contacts
For the past six years, some 140 scientists from five institutions have traveled to the Arctic Circle and beyond to gather field data as part of the Department of Energy-sponsored NGEE Arctic project. This article gives insight into how scientists gather the measurements that inform t...
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
Scientists of the Next-Generation Ecosystem Experiments are blogging from the Arctic this summer. Follow their adventures at http://ngee-arctic.blogspot.com/. Participants share troubles and triumphs from the field in entries with headings like "Flying Wild Alaska" and "Hitting the Tundra." "The b...