Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (20)
- Clean Energy (43)
- Computational Engineering (1)
- Computer Science (4)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (14)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (73)
- Materials Characterization (1)
- Materials for Computing (6)
- Materials Under Extremes (1)
- National Security (17)
- Neutron Science (47)
- Nuclear Science and Technology (9)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (56)
News Type
News Topics
- (-) Artificial Intelligence (31)
- (-) Biomedical (17)
- (-) Computer Science (58)
- (-) Coronavirus (17)
- (-) Frontier (15)
- (-) Grid (15)
- (-) Materials Science (50)
- (-) Nanotechnology (26)
- (-) Neutron Science (49)
- (-) Nuclear Energy (26)
- (-) Physics (24)
- (-) Security (11)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (10)
- Big Data (7)
- Bioenergy (23)
- Biology (21)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (28)
- Clean Water (2)
- Climate Change (22)
- Composites (10)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (19)
- Education (3)
- Element Discovery (1)
- Energy Storage (42)
- Environment (35)
- Exascale Computing (9)
- Fossil Energy (1)
- Fusion (14)
- High-Performance Computing (28)
- Isotopes (18)
- ITER (2)
- Machine Learning (13)
- Materials (57)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (2)
- National Security (18)
- Net Zero (3)
- Partnerships (29)
- Polymers (12)
- Quantum Computing (9)
- Quantum Science (26)
- Renewable Energy (1)
- Simulation (8)
- Space Exploration (3)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
ORNL has named Michael Parks director of the Computer Science and Mathematics Division within ORNL’s Computing and Computational Sciences Directorate. His hiring became effective March 13.
Mickey Wade has been named associate laboratory director for the Fusion and Fission Energy and Science Directorate at the Department of Energy’s Oak Ridge National Laboratory, effective April 1.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.
ORNL has entered a strategic research partnership with the United Kingdom Atomic Energy Authority, or UKAEA, to investigate how different types of materials behave under the influence of high-energy neutron sources. The $4 million project is part of UKAEA's roadmap program, which aims to produce electricity from fusion.
Oak Ridge National Laboratory scientists set out to address one of the biggest uncertainties about how carbon-rich permafrost will respond to gradual sinking of the land surface as temperatures rise.
Zheng Gai, a senior staff scientist at ORNL’s Center for Nanophase Materials Sciences, has been selected as editor-in-chief of the Spin Crossover and Spintronics section of Magnetochemistry.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
Anne Campbell, an R&D associate in ORNL’s Materials Science and Technology Division since 2016, has been selected as an associate editor of the Journal of Nuclear Materials.