Filter News
Area of Research
- (-) Supercomputing (45)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (17)
- Clean Energy (27)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (18)
- Fusion Energy (10)
- Isotopes (5)
- Materials (56)
- Materials for Computing (4)
- National Security (19)
- Neutron Science (60)
- Nuclear Science and Technology (35)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (19)
- (-) Biomedical (14)
- (-) Fusion (1)
- (-) Machine Learning (9)
- (-) Neutron Science (10)
- (-) Nuclear Energy (3)
- (-) Physics (5)
- (-) Security (3)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Big Data (15)
- Bioenergy (7)
- Biology (6)
- Buildings (3)
- Chemical Sciences (3)
- Climate Change (5)
- Computer Science (67)
- Coronavirus (11)
- Critical Materials (2)
- Cybersecurity (4)
- Decarbonization (3)
- Energy Storage (5)
- Environment (9)
- Exascale Computing (10)
- Frontier (10)
- Grid (5)
- High-Performance Computing (10)
- Isotopes (1)
- Materials (10)
- Materials Science (13)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (4)
- Partnerships (1)
- Polymers (2)
- Quantum Computing (7)
- Quantum Science (17)
- Simulation (5)
- Space Exploration (3)
- Summit (31)
- Sustainable Energy (8)
- Transportation (4)
Media Contacts
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.