Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (20)
- Clean Energy (41)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (20)
- Fusion Energy (11)
- Isotopes (2)
- Materials (20)
- Mathematics (1)
- National Security (13)
- Neutron Science (8)
- Nuclear Science and Technology (27)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (26)
News Type
News Topics
- (-) Advanced Reactors (21)
- (-) Artificial Intelligence (58)
- (-) Clean Water (27)
- (-) Grid (43)
- (-) Mathematics (6)
- (-) Nuclear Energy (71)
- 3-D Printing/Advanced Manufacturing (66)
- Big Data (37)
- Bioenergy (64)
- Biology (74)
- Biomedical (39)
- Biotechnology (13)
- Buildings (36)
- Chemical Sciences (30)
- Climate Change (69)
- Composites (15)
- Computer Science (120)
- Coronavirus (28)
- Critical Materials (13)
- Cybersecurity (17)
- Decarbonization (51)
- Education (1)
- Emergency (2)
- Energy Storage (59)
- Environment (143)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- Fusion (37)
- High-Performance Computing (53)
- Hydropower (11)
- Irradiation (2)
- Isotopes (31)
- ITER (5)
- Machine Learning (31)
- Materials (75)
- Materials Science (76)
- Mercury (10)
- Microelectronics (2)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (36)
- Net Zero (9)
- Neutron Science (74)
- Partnerships (16)
- Physics (32)
- Polymers (17)
- Quantum Computing (24)
- Quantum Science (40)
- Renewable Energy (1)
- Security (11)
- Simulation (37)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Summit (36)
- Sustainable Energy (87)
- Transformational Challenge Reactor (3)
- Transportation (62)
Media Contacts
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
Researchers at the Department of Energy’s Oak Ridge and Lawrence Berkeley National Laboratories are evolving graph neural networks to scale on the nation’s most powerful computational resources, a necessary step in tackling today’s data-centric
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.
A team of researchers from the University of Southern California, the Renaissance Computing Institute at the University of North Carolina, and Oak Ridge, Lawrence Berkeley and Argonne National Laboratories have received a grant from the U.S. Department of Energy to develop the fundamentals of a computational platform that is fault tolerant, robust to various environmental conditions and adaptive to workloads and resource availability.
Despite its futuristic essence, artificial intelligence has a history that can be traced through several decades, and the ORNL has played a major role. From helping to drive fundamental and applied AI research from the field’s early days focused on expert systems, computer programs that rely on AI, to more recent developments in deep learning, a form of AI that enables machines to make evidence-based decisions, the lab’s AI research spans the spectrum.
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Research performed by a team, including scientists from ORNL and Argonne National Laboratory, has resulted in a Best Paper Award at the 19th IEEE International Conference on eScience.
Nuclear engineering students from the United States Military Academy and United States Naval Academy are working with researchers at ORNL to complete design concepts for a nuclear propulsion rocket to go to space in 2027 as part of the Defense Advanced Research Projects Agency DRACO program.