Filter News
Area of Research
- (-) Supercomputing (24)
- Advanced Manufacturing (3)
- Biology and Environment (9)
- Clean Energy (38)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (12)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (12)
- Materials for Computing (1)
- National Security (12)
- Neutron Science (4)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Sensors and Controls (2)
News Type
News Topics
- (-) Frontier (13)
- (-) Fusion (1)
- (-) Grid (3)
- (-) Machine Learning (6)
- (-) Security (4)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Climate Change (5)
- Computer Science (47)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- High-Performance Computing (14)
- Isotopes (1)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (9)
- Quantum Science (13)
- Simulation (2)
- Summit (20)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
For the second year in a row, a team from the Department of Energy’s Oak Ridge and Los Alamos national laboratories led a demonstration hosted by EPB, a community-based utility and telecommunications company serving Chattanooga, Tennessee.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.