Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (37)
- Biology and Soft Matter (1)
- Clean Energy (42)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Isotopes (3)
- Materials (18)
- Materials for Computing (4)
- National Security (13)
- Neutron Science (10)
- Quantum information Science (1)
- Supercomputing (31)
News Type
News Topics
- (-) Artificial Intelligence (48)
- (-) Bioenergy (51)
- (-) Biomedical (29)
- (-) Chemical Sciences (25)
- (-) Grid (25)
- (-) Security (11)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (41)
- Advanced Reactors (8)
- Big Data (26)
- Biology (60)
- Biotechnology (11)
- Buildings (19)
- Clean Water (14)
- Climate Change (50)
- Composites (8)
- Computer Science (86)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (29)
- Environment (104)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (24)
- Fusion (31)
- High-Performance Computing (44)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (45)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (39)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Partnerships (18)
- Physics (29)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Simulation (32)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (30)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
Media Contacts
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.
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.
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.
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
The founder of a startup company who is working with ORNL has won an Environmental Protection Agency Green Chemistry Challenge Award for a unique air pollution control technology.
Raina Setzer knows the work she does matters. That’s because she’s already seen it from the other side. Setzer, a radiochemical processing technician in Oak Ridge National Laboratory’s Isotope Processing and Manufacturing Division, joined the lab in June 2023.