Filter News
Area of Research
- (-) Clean Energy (139)
- (-) Nuclear Science and Technology (16)
- (-) Supercomputing (70)
- Advanced Manufacturing (8)
- Biology and Environment (24)
- Computational Engineering (1)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (126)
- Materials Characterization (1)
- Materials for Computing (20)
- Materials Under Extremes (1)
- National Security (37)
- Neutron Science (41)
- Quantum information Science (9)
- Sensors and Controls (1)
- Transportation Systems (2)
News Topics
- (-) Critical Materials (12)
- (-) Cybersecurity (15)
- (-) Fusion (10)
- (-) Grid (42)
- (-) Machine Learning (19)
- (-) Materials Science (43)
- (-) Nanotechnology (15)
- (-) Quantum Science (25)
- (-) Space Exploration (10)
- (-) Transportation (69)
- 3-D Printing/Advanced Manufacturing (82)
- Advanced Reactors (16)
- Artificial Intelligence (41)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (24)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (108)
- Coronavirus (25)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (6)
- Materials (45)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (5)
- National Security (11)
- Net Zero (4)
- Neutron Science (23)
- Nuclear Energy (44)
- Partnerships (12)
- Physics (9)
- Polymers (13)
- Quantum Computing (19)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (5)
Media Contacts
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
Burak Ozpineci started out at ORNL working on a novel project: introducing silicon carbide into power electronics for more efficient electric vehicles. Twenty years later, the car he drives contains those same components.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
ORNL and Tuskegee University have formed a partnership to develop new biodegradable materials for use in buildings, transportation and biomedical applications.
Oak Ridge National Laboratory has released the federal government’s new 2022 Fuel Economy Guide. The report provides the latest fuel efficiency stats and money-saving tips for new and used vehicles.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.