Filter News
Area of Research
- (-) Clean Energy (17)
- (-) Isotopes (1)
- (-) Supercomputing (9)
- Advanced Manufacturing (2)
- Biology and Environment (7)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Materials (18)
- Materials Characterization (1)
- Materials for Computing (4)
- Materials Under Extremes (1)
- National Security (3)
- Neutron Science (6)
- Nuclear Science and Technology (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (12)
- (-) Cybersecurity (2)
- (-) Exascale Computing (3)
- (-) Frontier (3)
- (-) Grid (2)
- (-) Materials Science (8)
- (-) Quantum Computing (1)
- Advanced Reactors (2)
- Artificial Intelligence (4)
- Big Data (3)
- Bioenergy (3)
- Biology (2)
- Biomedical (2)
- Buildings (3)
- Chemical Sciences (5)
- Climate Change (4)
- Composites (2)
- Computer Science (8)
- Coronavirus (2)
- Critical Materials (1)
- Decarbonization (2)
- Energy Storage (12)
- Environment (9)
- Fusion (1)
- High-Performance Computing (7)
- Isotopes (4)
- Machine Learning (2)
- Materials (11)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (1)
- Neutron Science (3)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (1)
- Polymers (2)
- Quantum Science (1)
- Security (1)
- Simulation (3)
- Software (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (7)
- Transformational Challenge Reactor (1)
- Transportation (6)
Media Contacts
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
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.
Sreenivasa Jaldanki, a researcher in the Grid Systems Modeling and Controls group at the Department of Energy’s Oak Ridge National Laboratory, was recently elevated to senior membership in the Institute of Electrical and Electronics Engineers, or IEEE.
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.
Yarom Polsky, director of the Manufacturing Science Division, or MSD, at the Department of Energy’s Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Mechanical Engineers, or ASME.
Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab.
Three researchers at ORNL have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.