Filter News
Area of Research
- (-) Neutron Science (11)
- (-) Nuclear Science and Technology (9)
- (-) Supercomputing (65)
- Advanced Manufacturing (3)
- Biology and Environment (30)
- Clean Energy (58)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (17)
- Fusion Energy (5)
- Materials (23)
- Materials for Computing (7)
- National Security (24)
- Quantum information Science (4)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (6)
- (-) Computer Science (47)
- (-) Cybersecurity (2)
- (-) Energy Storage (3)
- (-) Fusion (6)
- (-) Grid (1)
- (-) High-Performance Computing (20)
- (-) Machine Learning (9)
- (-) Microscopy (2)
- (-) Quantum Science (10)
- (-) Software (1)
- Advanced Reactors (4)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biomedical (10)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (12)
- Coronavirus (7)
- Decarbonization (4)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- Isotopes (2)
- Materials (9)
- Materials Science (15)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (35)
- Nuclear Energy (19)
- Physics (5)
- Polymers (1)
- Quantum Computing (10)
- Security (2)
- Simulation (10)
- Space Exploration (3)
- Summit (21)
- Sustainable Energy (3)
- Transformational Challenge Reactor (2)
- Transportation (4)
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.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
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.
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.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Hosted by the Quantum Computing Institute and the Oak Ridge Leadership Computing Facility, the fourth annual event brought together over 100 attendees to discuss the latest developments in quantum computing and to learn about results from projects supported by the OLCF’s Quantum Computing User Program.