Filter News
Area of Research
- (-) Supercomputing (42)
- Advanced Manufacturing (3)
- Biology and Environment (22)
- Clean Energy (27)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (8)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (6)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (26)
- Materials for Computing (3)
- Mathematics (1)
- National Security (13)
- Neutron Science (11)
- Nuclear Science and Technology (17)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (1)
News Type
News Topics
- (-) Artificial Intelligence (13)
- (-) Climate Change (5)
- (-) Exascale Computing (8)
- (-) Machine Learning (6)
- (-) Nuclear Energy (2)
- (-) Quantum Science (13)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Computer Science (47)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Frontier (13)
- Fusion (1)
- Grid (3)
- High-Performance Computing (14)
- Isotopes (1)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (9)
- Simulation (2)
- Space Exploration (2)
- Summit (20)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
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.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1, guiding the successful, multi-institutional high-performance computing effort through its final stages.
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.