Filter News
Area of Research
- (-) Neutron Science (16)
- (-) Nuclear Science and Technology (37)
- (-) Supercomputing (36)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (72)
- Building Technologies (2)
- Clean Energy (118)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (1)
- Fusion and Fission (32)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (89)
- Materials for Computing (14)
- Mathematics (1)
- National Security (47)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
News Topics
- (-) Bioenergy (13)
- (-) Clean Water (2)
- (-) Critical Materials (3)
- (-) Microscopy (8)
- (-) National Security (8)
- (-) Nuclear Energy (41)
- (-) Polymers (3)
- (-) Security (6)
- (-) Sustainable Energy (11)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (12)
- Artificial Intelligence (39)
- Big Data (20)
- Biology (14)
- Biomedical (27)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Climate Change (17)
- Composites (1)
- Computer Science (99)
- Coronavirus (17)
- Cybersecurity (10)
- Decarbonization (7)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- Fusion (10)
- Grid (5)
- High-Performance Computing (39)
- Isotopes (6)
- Machine Learning (16)
- Materials (28)
- Materials Science (36)
- Mathematics (1)
- Molten Salt (5)
- Nanotechnology (19)
- Net Zero (1)
- Neutron Science (102)
- Partnerships (1)
- Physics (17)
- Quantum Computing (19)
- Quantum Science (29)
- Simulation (14)
- Software (1)
- Space Exploration (10)
- Summit (42)
- Transformational Challenge Reactor (3)
- Transportation (10)
Media Contacts
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
ORNL’s Luiz Leal of the Department of Energy’s Oak Ridge National Laboratory is the recipient of the 2023 Seaborg Medal from the American Nuclear Society.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
JungHyun Bae is a nuclear scientist studying applications of particles that have some beneficial properties: They are everywhere, they are unlimited, they are safe.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Nonfood, plant-based biofuels have potential as a green alternative to fossil fuels, but the enzymes required for production are too inefficient and costly to produce. However, new research is shining a light on enzymes from fungi that could make biofuels economically viable.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.