Filter News
Area of Research
- (-) Biology and Environment (19)
- (-) Clean Energy (40)
- (-) Supercomputing (33)
- Advanced Manufacturing (2)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (18)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (58)
- Materials Characterization (1)
- Materials for Computing (8)
- Materials Under Extremes (1)
- National Security (9)
- Neutron Science (16)
- Nuclear Science and Technology (11)
- Sensors and Controls (1)
News Type
News Topics
- (-) Bioenergy (19)
- (-) Climate Change (15)
- (-) Frontier (14)
- (-) Fusion (2)
- (-) Isotopes (2)
- (-) Materials Science (18)
- (-) Nuclear Energy (6)
- (-) Polymers (5)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (33)
- Advanced Reactors (4)
- Artificial Intelligence (17)
- Big Data (6)
- Biology (19)
- Biomedical (9)
- Biotechnology (6)
- Buildings (10)
- Chemical Sciences (12)
- Clean Water (1)
- Composites (7)
- Computer Science (37)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (8)
- Decarbonization (13)
- Energy Storage (30)
- Environment (34)
- Exascale Computing (11)
- Fossil Energy (1)
- Grid (13)
- High-Performance Computing (20)
- Machine Learning (10)
- Materials (25)
- Mercury (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (7)
- Net Zero (2)
- Neutron Science (15)
- Partnerships (8)
- Physics (4)
- Quantum Computing (5)
- Quantum Science (11)
- Renewable Energy (1)
- Simulation (8)
- Software (1)
- Space Exploration (1)
- Summit (17)
- Sustainable Energy (30)
- Transformational Challenge Reactor (3)
- Transportation (20)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
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.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
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.