Filter News
Area of Research
- (-) Functional Materials for Energy (1)
- (-) Isotopes (5)
- (-) Supercomputing (130)
- Advanced Manufacturing (4)
- Biology and Environment (74)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (100)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fusion and Fission (26)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Materials (83)
- Materials for Computing (15)
- Mathematics (1)
- National Security (38)
- Neutron Science (29)
- Nuclear Science and Technology (15)
- Quantum information Science (9)
- Sensors and Controls (2)
News Topics
- (-) Climate Change (18)
- (-) Computer Science (95)
- (-) Fusion (1)
- (-) Grid (5)
- (-) Machine Learning (14)
- (-) Microscopy (7)
- (-) Nanotechnology (11)
- (-) Quantum Science (24)
- (-) Security (5)
- (-) Space Exploration (6)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (19)
- Bioenergy (9)
- Biology (11)
- Biomedical (22)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (10)
- Environment (22)
- Exascale Computing (22)
- Frontier (28)
- High-Performance Computing (38)
- Irradiation (1)
- Isotopes (25)
- Materials (20)
- Materials Science (17)
- Mathematics (1)
- Molten Salt (1)
- National Security (9)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (7)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Computing (19)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.
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.
Oak Ridge National Laboratory, in partnership with the National Oceanic and Atmospheric Administration, is launching a new supercomputer dedicated to climate science research. The new system is the fifth supercomputer to be installed and run by the National Climate-Computing Research Center at ORNL.
Environmental scientists at ORNL have recently expanded collaborations with minority-serving institutions and historically Black colleges and universities across the nation to broaden the experiences and skills of student scientists while bringing fresh insights to the national lab’s missions.
A study by Oak Ridge National Laboratory researchers has demonstrated how satellites could enable more efficient, secure quantum networks.
Three scientists from the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Association for the Advancement of Science, or AAAS.
Critical Materials Institute researchers at Oak Ridge National Laboratory and Arizona State University studied the mineral monazite, an important source of rare-earth elements, to enhance methods of recovering critical materials for energy, defense and manufacturing applications.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.