Filter News
Area of Research
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (86)
- Building Technologies (2)
- Clean Energy (114)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Materials (57)
- Materials for Computing (11)
- National Security (30)
- Neutron Science (17)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Supercomputing (93)
News Topics
- (-) Big Data (53)
- (-) Bioenergy (91)
- (-) Composites (26)
- (-) Cybersecurity (35)
- (-) Frontier (42)
- (-) Mercury (12)
- (-) Microscopy (51)
- (-) Molten Salt (8)
- (-) Summit (57)
- (-) Sustainable Energy (125)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Biology (98)
- Biomedical (58)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (63)
- Clean Water (29)
- Climate Change (99)
- Computer Science (186)
- Coronavirus (46)
- Critical Materials (25)
- Decarbonization (79)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Fusion (53)
- Grid (62)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- ITER (7)
- Machine Learning (47)
- Materials (143)
- Materials Science (139)
- Mathematics (7)
- Microelectronics (2)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (131)
- Nuclear Energy (106)
- Partnerships (43)
- Physics (60)
- Polymers (33)
- Quantum Computing (33)
- Quantum Science (68)
- Renewable Energy (2)
- Security (24)
- Simulation (46)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Transformational Challenge Reactor (7)
- Transportation (96)
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.
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.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
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.
Scientists from more than a dozen institutions have completed a first-of-its-kind high-resolution assessment of carbon dioxide removal potential in the United States, charting a path to achieve a net-zero greenhouse gas economy by 2050.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.