Filter News
Area of Research
- (-) Supercomputing (67)
- Advanced Manufacturing (4)
- Biology and Environment (28)
- Building Technologies (1)
- Clean Energy (39)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (12)
- Fusion and Fission (7)
- Fusion Energy (7)
- Isotopes (19)
- Materials (26)
- Materials for Computing (5)
- Mathematics (1)
- National Security (17)
- Neutron Science (9)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Computer Science (61)
- (-) Cybersecurity (2)
- (-) Simulation (11)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (22)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Coronavirus (9)
- Critical Materials (3)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- Grid (1)
- High-Performance Computing (23)
- Machine Learning (8)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (13)
- Security (1)
- Software (1)
- Summit (27)
- Sustainable Energy (4)
- Transportation (4)
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.
Gang Seob “GS” Jung has known from the time he was in middle school that he was interested in science.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
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.