Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (26)
- Clean Energy (26)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (8)
- Materials (21)
- Materials for Computing (1)
- National Security (33)
- Neutron Science (13)
- Nuclear Science and Technology (16)
- Supercomputing (52)
News Type
News Topics
- (-) Artificial Intelligence (51)
- (-) Biomedical (32)
- (-) Clean Water (15)
- (-) Exascale Computing (31)
- (-) Grid (26)
- (-) National Security (47)
- (-) Nuclear Energy (56)
- (-) Quantum Computing (23)
- (-) Security (12)
- (-) Space Exploration (12)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Big Data (30)
- Bioenergy (51)
- Biology (61)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (28)
- Climate Change (52)
- Composites (8)
- Computer Science (89)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Fossil Energy (4)
- Frontier (27)
- Fusion (31)
- High-Performance Computing (49)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (46)
- Materials Science (49)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- Net Zero (8)
- Neutron Science (54)
- Partnerships (21)
- Physics (31)
- Polymers (8)
- Quantum Science (32)
- Renewable Energy (1)
- Simulation (34)
- Software (1)
- Statistics (1)
- Summit (33)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood.
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
Brian Sanders is focused on impactful, multidisciplinary science at Oak Ridge National Laboratory, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.
ORNL hosted the Mid-South Regional Chapter of the American Society for Photogrammetry and Remote Sensing, or ASPRS. Participants spanning government, academia and industry engaged in talks, poster sessions, events and workshops to further scientific discovery in a field devoted to using pictures to understand changes to the earth’s inhabitants and landscape.
Researchers conduct largest, most accurate molecular dynamics simulations to date of two million correlated electrons using Frontier, the world’s fastest supercomputer. The simulation, which exceed an exaflop using full double precision, is 1,000 times greater in size and speed than any quantum chemistry simulation of it's kind.
A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.
As a data scientist, Daniel Adams uses storytelling to parse through a large amount of information to determine which elements are most important, paring down the data to result in the most efficient and accurate data set possible.