Filter News
Area of Research
- Advanced Manufacturing (6)
- Biological Systems (2)
- Biology and Environment (72)
- Biology and Soft Matter (1)
- Clean Energy (75)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (2)
- Fusion and Fission (3)
- Fusion Energy (2)
- Isotopes (19)
- Materials (53)
- Materials for Computing (11)
- Mathematics (1)
- National Security (18)
- Neutron Science (15)
- Nuclear Science and Technology (7)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (42)
News Type
News Topics
- (-) Bioenergy (67)
- (-) Climate Change (72)
- (-) Cybersecurity (17)
- (-) Frontier (25)
- (-) Grid (44)
- (-) Isotopes (32)
- (-) Materials (78)
- (-) Microscopy (31)
- (-) Simulation (38)
- (-) Space Exploration (22)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (70)
- Advanced Reactors (21)
- Artificial Intelligence (59)
- Big Data (41)
- Biology (77)
- Biomedical (39)
- Biotechnology (14)
- Buildings (38)
- Chemical Sciences (34)
- Clean Water (27)
- Composites (15)
- Computer Science (123)
- Coronavirus (28)
- Critical Materials (14)
- Decarbonization (55)
- Education (1)
- Emergency (2)
- Energy Storage (60)
- Environment (147)
- Exascale Computing (26)
- Fossil Energy (5)
- Fusion (40)
- High-Performance Computing (55)
- Hydropower (11)
- Irradiation (2)
- ITER (5)
- Machine Learning (33)
- Materials Science (79)
- Mathematics (9)
- Mercury (10)
- Microelectronics (2)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (40)
- Net Zero (10)
- Neutron Science (74)
- Nuclear Energy (74)
- Partnerships (17)
- Physics (32)
- Polymers (17)
- Quantum Computing (24)
- Quantum Science (40)
- Renewable Energy (1)
- Security (12)
- Software (1)
- Statistics (2)
- Summit (36)
- Sustainable Energy (89)
- Transportation (62)
Media Contacts
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.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed lubricant additives that protect both water turbine equipment and the surrounding environment.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
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.