Filter News
Area of Research
- (-) Fuel Cycle Science and Technology (1)
- (-) Fusion Energy (2)
- (-) National Security (5)
- (-) Supercomputing (23)
- Advanced Manufacturing (7)
- Biology and Environment (28)
- Clean Energy (45)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Fusion and Fission (15)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (40)
- Materials for Computing (5)
- Neutron Science (20)
- Nuclear Science and Technology (9)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Biotechnology (1)
- (-) Environment (4)
- (-) Fusion (3)
- (-) Isotopes (1)
- (-) Nuclear Energy (5)
- (-) Physics (5)
- (-) Space Exploration (1)
- (-) Summit (14)
- Advanced Reactors (2)
- Artificial Intelligence (17)
- Big Data (1)
- Bioenergy (7)
- Biology (5)
- Biomedical (5)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (35)
- Coronavirus (5)
- Cybersecurity (13)
- Decarbonization (1)
- Energy Storage (5)
- Exascale Computing (7)
- Frontier (12)
- Grid (4)
- High-Performance Computing (11)
- Machine Learning (8)
- Materials (8)
- Materials Science (6)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (11)
- Neutron Science (8)
- Partnerships (4)
- Quantum Computing (5)
- Quantum Science (10)
- Security (7)
- Simulation (1)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Craig Blue, Defense Manufacturing Program Director at the Department of Energy’s Oak Ridge National Laboratory, was recently elected to a two-year term on the Institute for Advanced Composites Manufacturing Innovation Consortium Council, a body of professionals from academia, state governments, and national laboratories that provides strategic direction and oversight to IACMI.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at Oak Ridge National Laboratory Oct. 10-13.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
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.
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.