Filter News
Area of Research
- (-) Clean Energy (35)
- (-) National Security (15)
- (-) Nuclear Science and Technology (3)
- (-) Supercomputing (72)
- Advanced Manufacturing (5)
- Biology and Environment (23)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (12)
- Fusion and Fission (2)
- Fusion Energy (4)
- Isotopes (1)
- Materials (49)
- Materials for Computing (14)
- Mathematics (1)
- Neutron Science (17)
- Quantum information Science (6)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (28)
- (-) Computer Science (75)
- (-) Materials Science (25)
- (-) Microscopy (6)
- 3-D Printing/Advanced Manufacturing (49)
- Advanced Reactors (11)
- Big Data (21)
- Bioenergy (15)
- Biology (14)
- Biomedical (15)
- Biotechnology (4)
- Buildings (25)
- Chemical Sciences (6)
- Clean Water (7)
- Climate Change (29)
- Composites (11)
- Coronavirus (18)
- Critical Materials (7)
- Cybersecurity (14)
- Decarbonization (22)
- Energy Storage (42)
- Environment (48)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (14)
- Fusion (8)
- Grid (32)
- High-Performance Computing (25)
- Hydropower (2)
- Isotopes (3)
- Machine Learning (16)
- Materials (23)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Molten Salt (4)
- Nanotechnology (8)
- National Security (24)
- Net Zero (3)
- Neutron Science (11)
- Nuclear Energy (32)
- Partnerships (4)
- Physics (4)
- Polymers (8)
- Quantum Computing (14)
- Quantum Science (15)
- Security (9)
- Simulation (12)
- Software (1)
- Space Exploration (7)
- Statistics (1)
- Summit (28)
- Sustainable Energy (43)
- Transformational Challenge Reactor (2)
- Transportation (47)
Media Contacts
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
Bruce Warmack has been fascinated by science since his mother finally let him have a chemistry set at the age of nine. He’d been pestering her for one since he was six.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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