Filter News
Area of Research
- (-) Biology and Environment (72)
- (-) Nuclear Science and Technology (39)
- (-) Supercomputing (59)
- Advanced Manufacturing (4)
- Biological Systems (2)
- Clean Energy (87)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (11)
- Materials (75)
- Materials for Computing (10)
- National Security (19)
- Neutron Science (30)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
News Topics
- (-) Big Data (25)
- (-) Bioenergy (49)
- (-) Biomedical (30)
- (-) Grid (7)
- (-) Nanotechnology (16)
- (-) Nuclear Energy (40)
- (-) Space Exploration (8)
- 3-D Printing/Advanced Manufacturing (16)
- Advanced Reactors (13)
- Artificial Intelligence (40)
- Biology (75)
- Biotechnology (14)
- Buildings (6)
- Chemical Sciences (14)
- Clean Water (11)
- Climate Change (51)
- Composites (5)
- Computer Science (105)
- Coronavirus (22)
- Critical Materials (4)
- Cybersecurity (10)
- Decarbonization (22)
- Energy Storage (11)
- Environment (103)
- Exascale Computing (24)
- Frontier (28)
- Fusion (10)
- High-Performance Computing (51)
- Hydropower (8)
- Isotopes (7)
- Machine Learning (18)
- Materials (24)
- Materials Science (25)
- Mathematics (3)
- Mercury (7)
- Microscopy (16)
- Molten Salt (5)
- National Security (9)
- Net Zero (3)
- Neutron Science (20)
- Partnerships (5)
- Physics (10)
- Polymers (4)
- Quantum Computing (19)
- Quantum Science (24)
- Renewable Energy (1)
- Security (5)
- Simulation (23)
- Software (1)
- Summit (46)
- Sustainable Energy (35)
- Transformational Challenge Reactor (4)
- Transportation (8)
Media Contacts
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.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
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.
ORNL’s Luiz Leal of the Department of Energy’s Oak Ridge National Laboratory is the recipient of the 2023 Seaborg Medal from the American Nuclear Society.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
In 1993 as data managers at ORNL began compiling observations from field experiments for the National Aeronautics and Space Administration, the information fit on compact discs and was mailed to users along with printed manuals.
For 25 years, scientists at Oak Ridge National Laboratory have used their broad expertise in human health risk assessment, ecology, radiation protection, toxicology and information management to develop widely used tools and data for the U.S. Environmental Protection Agency as part of the agency’s Superfund program.
Scientist Xiaohan Yang’s research at the Department of Energy’s Oak Ridge National Laboratory focuses on transforming plants to make them better sources of renewable energy and carbon storage.
Oak Ridge National Laboratory scientists studied hot springs on different continents and found similarities in how some microbes adapted despite their geographic diversity.