Filter News
Area of Research
- (-) Biology and Environment (22)
- (-) Materials (20)
- (-) Supercomputing (55)
- Advanced Manufacturing (3)
- Clean Energy (45)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (16)
- Fusion Energy (5)
- Materials for Computing (5)
- National Security (22)
- Neutron Science (10)
- Nuclear Science and Technology (9)
- Quantum information Science (4)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Computer Science (52)
- (-) Cybersecurity (2)
- (-) Fusion (2)
- (-) Grid (3)
- (-) Machine Learning (9)
- (-) Microscopy (13)
- (-) Quantum Science (10)
- Advanced Reactors (1)
- Artificial Intelligence (23)
- Big Data (17)
- Bioenergy (28)
- Biology (43)
- Biomedical (16)
- Biotechnology (7)
- Buildings (3)
- Chemical Sciences (10)
- Clean Water (10)
- Climate Change (30)
- Composites (3)
- Coronavirus (10)
- Decarbonization (17)
- Energy Storage (8)
- Environment (68)
- Exascale Computing (14)
- Frontier (13)
- High-Performance Computing (27)
- Hydropower (5)
- Isotopes (6)
- Materials (22)
- Materials Science (22)
- Mathematics (3)
- Mercury (6)
- Nanotechnology (11)
- National Security (4)
- Net Zero (2)
- Neutron Science (14)
- Nuclear Energy (11)
- Partnerships (3)
- Physics (14)
- Polymers (5)
- Quantum Computing (11)
- Renewable Energy (1)
- Security (2)
- Simulation (15)
- Software (1)
- Space Exploration (2)
- Summit (23)
- Sustainable Energy (19)
- Transformational Challenge Reactor (2)
- Transportation (7)
Media Contacts
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 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.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
To better understand important dynamics at play in flood-prone coastal areas, Oak Ridge National Laboratory scientists working on simulations of Earth’s carbon and nutrient cycles paid a visit to experimentalists gathering data in a Texas wetland.
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Speakers, scientific workshops, speed networking, a student poster showcase and more energized the Annual User Meeting of the Department of Energy’s Center for Nanophase Materials Sciences, or CNMS, Aug. 7-10, near Market Square in downtown Knoxville, Tennessee.
Madhavi Martin brings a physicist’s tools and perspective to biological and environmental research at the Department of Energy’s Oak Ridge National Laboratory, supporting advances in bioenergy, soil carbon storage and environmental monitoring, and even helping solve a murder mystery.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.