Filter News
Area of Research
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (87)
- Clean Energy (50)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotopes (6)
- Materials (33)
- Materials for Computing (5)
- National Security (22)
- Neutron Science (22)
- Nuclear Science and Technology (2)
- Sensors and Controls (1)
- Supercomputing (54)
News Topics
- (-) Artificial Intelligence (91)
- (-) Biology (98)
- (-) Biomedical (58)
- (-) Composites (26)
- (-) Partnerships (43)
- (-) Security (24)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Big Data (53)
- Bioenergy (91)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (63)
- Clean Water (29)
- Climate Change (99)
- Computer Science (187)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (79)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (54)
- Grid (62)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- ITER (7)
- Machine Learning (47)
- Materials (143)
- Materials Science (139)
- Mathematics (7)
- Mercury (12)
- Microelectronics (3)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (61)
- Net Zero (13)
- Neutron Science (131)
- Nuclear Energy (107)
- Physics (61)
- Polymers (33)
- Quantum Computing (34)
- Quantum Science (69)
- Renewable Energy (2)
- Simulation (47)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (125)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
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.
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
The BIO-SANS instrument, located at Oak Ridge National Laboratory’s High Flux Isotope Reactor, is the latest neutron scattering instrument to be retrofitted with state-of-the-art robotics and custom software. The sophisticated upgrade quadruples the number of samples the instrument can measure automatically and significantly reduces the need for human assistance.
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
Plans to unite the capabilities of two cutting-edge technological facilities funded by the Department of Energy’s Office of Science promise to usher in a new era of dynamic structural biology. Through DOE’s Integrated Research Infrastructure, or IRI, initiative, the facilities will complement each other’s technologies in the pursuit of science despite being nearly 2,500 miles apart.
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 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.