Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (56)
- Biology and Soft Matter (1)
- Clean Energy (65)
- Computer Science (1)
- Fusion and Fission (4)
- Materials (56)
- Materials for Computing (6)
- National Security (22)
- Neutron Science (18)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Supercomputing (25)
News Type
News Topics
- (-) Bioenergy (75)
- (-) Clean Water (18)
- (-) Cybersecurity (31)
- (-) Decarbonization (71)
- (-) Physics (60)
- (-) Polymers (23)
- 3-D Printing/Advanced Manufacturing (92)
- Advanced Reactors (20)
- Artificial Intelligence (86)
- Big Data (41)
- Biology (83)
- Biomedical (49)
- Biotechnology (21)
- Buildings (43)
- Chemical Sciences (61)
- Climate Change (79)
- Composites (20)
- Computer Science (155)
- Coronavirus (35)
- Critical Materials (17)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (79)
- Environment (148)
- Exascale Computing (41)
- Fossil Energy (5)
- Frontier (43)
- Fusion (49)
- Grid (44)
- High-Performance Computing (79)
- Hydropower (5)
- Isotopes (50)
- ITER (4)
- Machine Learning (38)
- Materials (106)
- Materials Science (111)
- Mathematics (8)
- Mercury (9)
- Microelectronics (4)
- Microscopy (39)
- Molten Salt (4)
- Nanotechnology (46)
- National Security (68)
- Net Zero (11)
- Neutron Science (107)
- Nuclear Energy (88)
- Partnerships (50)
- Quantum Computing (33)
- Quantum Science (60)
- Renewable Energy (2)
- Security (25)
- Simulation (44)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (54)
- Sustainable Energy (81)
- Transformational Challenge Reactor (7)
- Transportation (57)
Media Contacts
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
Scientists have determined that a rare element found in some of the oldest solids in the solar system, such as meteorites, and previously thought to have been forged in supernova explosions, actually predate such cosmic events, challenging long-held theories about its origin.
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
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.
Researchers used quantum simulations to obtain new insights into the nature of neutrinos — the mysterious subatomic particles that abound throughout the universe — and their role in the deaths of massive stars.
In May, the Department of Energy’s Oak Ridge and Brookhaven national laboratories co-hosted the 15th annual International Particle Accelerator Conference, or IPAC, at the Music City Center in Nashville, Tennessee.