Filter News
Area of Research
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (42)
- Clean Energy (80)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (12)
- Materials (115)
- Materials for Computing (15)
- National Security (52)
- Neutron Science (105)
- Nuclear Science and Technology (43)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (82)
News Topics
- (-) Biomedical (60)
- (-) Exascale Computing (42)
- (-) Grid (66)
- (-) Machine Learning (50)
- (-) Molten Salt (9)
- (-) Nanotechnology (60)
- (-) National Security (71)
- (-) Neutron Science (135)
- (-) Nuclear Energy (111)
- (-) Physics (64)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (127)
- Advanced Reactors (34)
- Artificial Intelligence (100)
- Big Data (60)
- Bioenergy (92)
- Biology (101)
- Biotechnology (24)
- Buildings (64)
- Chemical Sciences (72)
- Clean Water (31)
- Climate Change (104)
- Composites (30)
- Computer Science (197)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (84)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (199)
- Fossil Energy (6)
- Frontier (45)
- Fusion (58)
- High-Performance Computing (93)
- Hydropower (11)
- Irradiation (3)
- Isotopes (56)
- ITER (7)
- Materials (147)
- Materials Science (146)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Net Zero (14)
- Partnerships (50)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (71)
- Renewable Energy (2)
- Security (25)
- Simulation (51)
- Software (1)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
Andrew Conant from ORNL's nuclear nonproliferation division is collaborating with national laboratories to analyze isotopes generated in nuclear reactors. This research aims to glean insights into the operations and objectives of these reactors. ORNL, renowned for its leadership in nuclear research, maintains its legacy by promoting the peaceful utilization of nuclear energy worldwide.
Despite strong regulations and robust international safeguards, authorities routinely interdict nuclear materials outside of regulatory control. Researchers at ORNL are exploring a new method that would give authorities the ability to analyze intercepted nuclear material and determine where it originated.
ORNL researchers completed successful testing of a gallium nitride transistor for use in more accurate sensors operating near the core of a nuclear reactor. This is an important technical advance particularly for monitoring new, compact.
Researchers used quantum simulations to obtain new insights into the nature of neutrinos — the mysterious subatomic particles that abound throughout the universe — and their role in the deaths of massive stars.
In May, the Department of Energy’s Oak Ridge and Brookhaven national laboratories co-hosted the 15th annual International Particle Accelerator Conference, or IPAC, at the Music City Center in Nashville, Tennessee.
An Oak Ridge National Laboratory team revealed how chemical species form in a highly reactive molten salt mixture of aluminum chloride and potassium chloride by unraveling vibrational signatures and observing ion exchanges.
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.