Filter News
Area of Research
- (-) Clean Energy (58)
- (-) Fusion and Fission (31)
- (-) Supercomputing (89)
- Advanced Manufacturing (6)
- Biology and Environment (57)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (42)
- Materials for Computing (3)
- Mathematics (1)
- National Security (28)
- Neutron Science (15)
- Nuclear Science and Technology (38)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (10)
- (-) Artificial Intelligence (41)
- (-) Climate Change (35)
- (-) Composites (17)
- (-) Exascale Computing (26)
- (-) Frontier (30)
- (-) Nuclear Energy (34)
- (-) Security (9)
- 3-D Printing/Advanced Manufacturing (80)
- Big Data (25)
- Bioenergy (29)
- Biology (20)
- Biomedical (23)
- Biotechnology (6)
- Buildings (39)
- Chemical Sciences (19)
- Clean Water (8)
- Computer Science (107)
- Coronavirus (25)
- Critical Materials (13)
- Cybersecurity (14)
- Decarbonization (36)
- Education (1)
- Energy Storage (76)
- Environment (69)
- Fossil Energy (2)
- Fusion (23)
- Grid (42)
- High-Performance Computing (42)
- Hydropower (2)
- Isotopes (3)
- ITER (6)
- Machine Learning (19)
- Materials (46)
- Materials Science (42)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (15)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (11)
- Net Zero (5)
- Neutron Science (21)
- Partnerships (13)
- Physics (9)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Simulation (20)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (44)
- Sustainable Energy (73)
- Transformational Challenge Reactor (3)
- Transportation (71)
Media Contacts
The Summit supercomputer, once the world’s most powerful, is set to be decommissioned by the end of 2024 to make way for the next-generation supercomputer. Over the summer, crews began dismantling Summit’s Alpine storage system, shredding over 40,000 hard drives with the help of ShredPro Secure, a local East Tennessee business. This partnership not only reduced costs and sped up the process but also established a more efficient and secure method for decommissioning large-scale computing systems in the future.
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
Three staff members in ORNL’s Fusion and Fission Energy and Science Directorate have moved into newly established roles facilitating communication and program management with sponsors of the directorate’s Nuclear Energy and Fuel Cycle Division.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
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.
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
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.
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for