Filter News
Area of Research
- (-) Isotopes (26)
- (-) Neutron Science (9)
- (-) Supercomputing (39)
- Advanced Manufacturing (2)
- Biology and Environment (25)
- Clean Energy (61)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Materials (49)
- Materials for Computing (6)
- National Security (27)
- Nuclear Science and Technology (9)
- Quantum information Science (4)
- Sensors and Controls (1)
News Topics
- (-) Big Data (20)
- (-) Cybersecurity (9)
- (-) Grid (5)
- (-) Isotopes (25)
- (-) Microscopy (8)
- (-) Space Exploration (8)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Artificial Intelligence (39)
- Bioenergy (13)
- Biology (14)
- Biomedical (30)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (18)
- Composites (1)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (3)
- Decarbonization (7)
- Energy Storage (15)
- Environment (29)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- Fusion (2)
- High-Performance Computing (39)
- Irradiation (1)
- Machine Learning (16)
- Materials (32)
- Materials Science (34)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (9)
- Net Zero (1)
- Neutron Science (101)
- Nuclear Energy (10)
- Partnerships (1)
- Physics (16)
- Polymers (3)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (11)
- Transportation (10)
Media Contacts
The 21st Symposium on Separation Science and Technology for Energy Applications, Oct. 23-26 at the Embassy Suites by Hilton West in Knoxville, attracted 109 researchers, including some from Austria and the Czech Republic. Besides attending many technical sessions, they had the opportunity to tour the Graphite Reactor, High Flux Isotope Reactor and both supercomputers at ORNL.
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
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.
Raina Setzer knows the work she does matters. That’s because she’s already seen it from the other side. Setzer, a radiochemical processing technician in Oak Ridge National Laboratory’s Isotope Processing and Manufacturing Division, joined the lab in June 2023.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
In June, ORNL hit a milestone not seen in more than three decades: producing a production-quality amount of plutonium-238
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
It was reading about current nuclear discoveries in textbooks that first made Ken Engle want to work at a national lab. It was seeing the real-world impact of the isotopes produced at ORNL
Eric Myers of ORNL has been named a senior member of the Institute of Electrical and Electronics Engineers, effective June 21.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.