Filter News
Area of Research
- (-) Nuclear Science and Technology (1)
- (-) Supercomputing (80)
- Advanced Manufacturing (3)
- Biology and Environment (63)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (95)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (12)
- Energy Sciences (1)
- Fusion and Fission (5)
- Fusion Energy (3)
- Materials (22)
- Materials for Computing (9)
- Mathematics (1)
- National Security (17)
- Neutron Science (10)
- Quantum information Science (5)
- Transportation Systems (2)
News Type
News Topics
- (-) Climate Change (14)
- (-) Computer Science (61)
- (-) Frontier (14)
- (-) Security (1)
- (-) Sustainable Energy (4)
- (-) Transportation (4)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (9)
- Artificial Intelligence (22)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (12)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Fusion (8)
- Grid (1)
- High-Performance Computing (23)
- Isotopes (3)
- Machine Learning (8)
- Materials (5)
- Materials Science (11)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (4)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (29)
- Physics (4)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (13)
- Simulation (11)
- Software (1)
- Space Exploration (5)
- Summit (27)
- Transformational Challenge Reactor (2)
Media Contacts
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.
ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and 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.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
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.
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.
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 new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.