Filter News
Area of Research
- (-) National Security (23)
- (-) Supercomputing (74)
- Advanced Manufacturing (6)
- Biology and Environment (26)
- Clean Energy (84)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (125)
- Materials Characterization (1)
- Materials for Computing (15)
- Materials Under Extremes (1)
- Neutron Science (38)
- Nuclear Science and Technology (9)
- Quantum information Science (9)
- Sensors and Controls (1)
- Transportation Systems (1)
News Topics
- (-) Critical Materials (3)
- (-) Exascale Computing (22)
- (-) Grid (11)
- (-) Machine Learning (23)
- (-) Materials Science (17)
- (-) Molten Salt (1)
- (-) Physics (8)
- (-) Quantum Science (25)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biomedical (17)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Environment (25)
- Frontier (28)
- Fusion (2)
- High-Performance Computing (40)
- Isotopes (1)
- Materials (16)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (11)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (8)
- Partnerships (4)
- Polymers (2)
- Quantum Computing (19)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
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 Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation.
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 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.
Outside the high-performance computing, or HPC, community, exascale may seem more like fodder for science fiction than a powerful tool for scientific research. Yet, when seen through the lens of real-world applications, exascale computing goes from ethereal concept to tangible reality with exceptional benefits.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career