Filter News
Area of Research
- (-) Materials (70)
- (-) Nuclear Science and Technology (11)
- (-) Supercomputing (47)
- Advanced Manufacturing (3)
- Biology and Environment (26)
- Clean Energy (31)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials for Computing (6)
- National Security (33)
- Neutron Science (19)
- Quantum information Science (4)
News Topics
- (-) Big Data (19)
- (-) Cybersecurity (9)
- (-) Isotopes (16)
- (-) Machine Learning (14)
- (-) Microscopy (29)
- (-) Physics (36)
- (-) Space Exploration (10)
- 3-D Printing/Advanced Manufacturing (28)
- Advanced Reactors (15)
- Artificial Intelligence (38)
- Bioenergy (18)
- Biology (14)
- Biomedical (23)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (32)
- Clean Water (3)
- Climate Change (21)
- Composites (9)
- Computer Science (99)
- Coronavirus (17)
- Critical Materials (15)
- Decarbonization (11)
- Energy Storage (37)
- Environment (35)
- Exascale Computing (22)
- Frontier (28)
- Fusion (16)
- Grid (9)
- High-Performance Computing (40)
- Irradiation (1)
- ITER (1)
- Materials (79)
- Materials Science (84)
- Mathematics (1)
- Molten Salt (7)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Neutron Science (46)
- Nuclear Energy (52)
- Partnerships (11)
- Polymers (18)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (19)
- Transformational Challenge Reactor (5)
- Transportation (19)
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.
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.
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.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
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.
ORNL is leading two nuclear physics research projects within the Scientific Discovery through Advanced Computing, or SciDAC, program from the Department of Energy Office of Science.
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.
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.