Filter News
Area of Research
- Advanced Manufacturing (8)
- Biology and Environment (19)
- Clean Energy (65)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (63)
- Materials Characterization (1)
- Materials for Computing (8)
- Materials Under Extremes (1)
- National Security (17)
- Neutron Science (25)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (50)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (50)
- (-) Biomedical (18)
- (-) Clean Water (2)
- (-) Cybersecurity (18)
- (-) Energy Storage (46)
- (-) Exascale Computing (12)
- (-) Frontier (17)
- (-) Machine Learning (14)
- (-) Materials Science (54)
- (-) Security (11)
- (-) Summit (22)
- Advanced Reactors (12)
- Artificial Intelligence (33)
- Big Data (11)
- Bioenergy (24)
- Biology (22)
- Biotechnology (7)
- Buildings (16)
- Chemical Sciences (34)
- Climate Change (25)
- Composites (11)
- Computer Science (63)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (23)
- Education (3)
- Element Discovery (1)
- Environment (44)
- Fossil Energy (1)
- Fusion (14)
- Grid (18)
- High-Performance Computing (33)
- Irradiation (1)
- Isotopes (22)
- ITER (2)
- Materials (67)
- Mercury (2)
- Microelectronics (1)
- Microscopy (18)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (21)
- Net Zero (4)
- Neutron Science (56)
- Nuclear Energy (34)
- Partnerships (30)
- Physics (24)
- Polymers (13)
- Quantum Computing (10)
- Quantum Science (28)
- Renewable Energy (1)
- Simulation (11)
- Software (1)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (37)
- Transformational Challenge Reactor (4)
- Transportation (32)
Media Contacts
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.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
The Hub & Spoke Sustainable Materials & Manufacturing Alliance for Renewable Technologies, or SM2ART, program has been honored with the composites industry’s Combined Strength Award at the Composites and Advanced Materials Expo, or CAMX, 2023 in Atlanta. This distinction goes to the team that applies their knowledge, resources and talent to solve a problem by making the best use of composites materials.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
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.