Filter News
Area of Research
- (-) Clean Energy (57)
- (-) Supercomputing (42)
- Advanced Manufacturing (5)
- Biology and Environment (40)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (2)
- Fusion and Fission (5)
- Fusion Energy (7)
- Isotopes (1)
- Materials (49)
- Materials for Computing (11)
- Mathematics (1)
- National Security (14)
- Neutron Science (12)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Advanced Reactors (3)
- (-) Big Data (19)
- (-) Climate Change (26)
- (-) Grid (28)
- (-) Materials Science (22)
- (-) Physics (4)
- 3-D Printing/Advanced Manufacturing (46)
- Artificial Intelligence (24)
- Bioenergy (14)
- Biology (12)
- Biomedical (14)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (6)
- Clean Water (7)
- Composites (11)
- Computer Science (71)
- Coronavirus (16)
- Critical Materials (7)
- Cybersecurity (7)
- Decarbonization (21)
- Energy Storage (42)
- Environment (45)
- Exascale Computing (15)
- Fossil Energy (1)
- Frontier (15)
- Fusion (1)
- High-Performance Computing (25)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (10)
- Materials (22)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Nanotechnology (8)
- National Security (4)
- Net Zero (3)
- Neutron Science (8)
- Nuclear Energy (6)
- Partnerships (4)
- Polymers (8)
- Quantum Computing (14)
- Quantum Science (14)
- Security (3)
- Simulation (13)
- Software (1)
- Space Exploration (5)
- Statistics (1)
- Summit (29)
- Sustainable Energy (43)
- Transportation (46)
Media Contacts
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.
David McCollum is using his interdisciplinary expertise, international networks and boundless enthusiasm to lead Oak Ridge National Laboratory’s contributions to the Net Zero World initiative.
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.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.
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.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.