Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (10)
- Clean Energy (16)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (1)
- Isotopes (7)
- Materials (16)
- Materials for Computing (3)
- National Security (12)
- Neutron Science (11)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (38)
News Type
News Topics
- (-) Artificial Intelligence (34)
- (-) Biomedical (17)
- (-) Clean Water (2)
- (-) Computer Science (61)
- (-) Isotopes (18)
- (-) Machine Learning (13)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (11)
- Big Data (7)
- Bioenergy (23)
- Biology (22)
- Biotechnology (8)
- Buildings (15)
- Chemical Sciences (32)
- Climate Change (22)
- Composites (11)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Energy Storage (43)
- Environment (36)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (17)
- Grid (16)
- High-Performance Computing (30)
- ITER (2)
- Materials (60)
- Materials Science (53)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (3)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (51)
- Nuclear Energy (27)
- Partnerships (29)
- Physics (24)
- Polymers (12)
- Quantum Computing (11)
- Quantum Science (28)
- Renewable Energy (1)
- Security (12)
- Simulation (9)
- Space Exploration (3)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
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.
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.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.