Filter News
Area of Research
News Topics
- (-) Molten Salt (1)
- (-) National Security (33)
- (-) Simulation (30)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (8)
- Artificial Intelligence (45)
- Big Data (21)
- Bioenergy (49)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (47)
- Composites (6)
- Computer Science (81)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (24)
- Fossil Energy (4)
- Frontier (23)
- Fusion (28)
- Grid (23)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (26)
- ITER (2)
- Machine Learning (21)
- Materials (40)
- Materials Science (43)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Nanotechnology (16)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (52)
- Partnerships (15)
- Physics (28)
- Polymers (8)
- Quantum Computing (20)
- Quantum Science (30)
- Renewable Energy (1)
- Security (10)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
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.
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.
Computational scientists at ORNL have published a study that questions a long-accepted factor in simulating the molecular dynamics of water: the 2 femtosecond time step. According to the team’s findings, using anything greater than a 0.5 femtosecond time step can introduce errors in both the dynamics and thermodynamics when simulating water using a rigid-body description.
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.