Filter News
Area of Research
- (-) Advanced Manufacturing (3)
- (-) Materials (34)
- (-) Supercomputing (55)
- Biology and Environment (38)
- Biology and Soft Matter (1)
- Clean Energy (54)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (18)
- Fusion Energy (4)
- Isotopes (16)
- Materials for Computing (7)
- National Security (15)
- Neutron Science (39)
- Nuclear Science and Technology (17)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (8)
- (-) Clean Water (2)
- (-) Climate Change (12)
- (-) Computer Science (47)
- (-) Isotopes (6)
- (-) Neutron Science (16)
- (-) Nuclear Energy (11)
- (-) Transportation (7)
- Advanced Reactors (1)
- Artificial Intelligence (21)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biomedical (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Composites (2)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (7)
- Environment (18)
- Exascale Computing (12)
- Frontier (13)
- Fusion (2)
- Grid (3)
- High-Performance Computing (20)
- Machine Learning (7)
- Materials (23)
- Materials Science (21)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Partnerships (3)
- Physics (13)
- Polymers (4)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
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 response to a renewed international interest in molten salt reactors, researchers from the Department of Energy’s Oak Ridge National Laboratory have developed a novel technique to visualize molten salt intrusion in graphite.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
ORNL, a bastion of nuclear physics research for the past 80 years, is poised to strengthen its programs and service to the United States over the next decade if national recommendations of the Nuclear Science Advisory Committee, or NSAC, are enacted.
In 2023, the National School on X-ray and Neutron Scattering, or NXS, marked its 25th year during its annual program, held August 6–18 at the Department of Energy’s Oak Ridge and Argonne National Laboratories.
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.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.