Filter News
Area of Research
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (42)
- Building Technologies (1)
- Clean Energy (163)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (88)
- Materials for Computing (18)
- National Security (30)
- Neutron Science (32)
- Nuclear Science and Technology (13)
- Quantum information Science (4)
- Supercomputing (88)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (121)
- (-) Artificial Intelligence (91)
- (-) Biomedical (58)
- (-) Cybersecurity (35)
- (-) Frontier (42)
- (-) Isotopes (53)
- (-) Microscopy (51)
- (-) Polymers (33)
- (-) Space Exploration (25)
- (-) Transportation (97)
- Advanced Reactors (34)
- Big Data (53)
- Bioenergy (91)
- Biology (98)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (63)
- Clean Water (29)
- Climate Change (99)
- Composites (26)
- Computer Science (187)
- Coronavirus (46)
- Critical Materials (26)
- Decarbonization (79)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Fusion (54)
- Grid (62)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (47)
- Materials (144)
- Materials Science (140)
- Mathematics (7)
- Mercury (12)
- Microelectronics (3)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (61)
- Net Zero (13)
- Neutron Science (131)
- Nuclear Energy (108)
- Partnerships (44)
- Physics (61)
- Quantum Computing (34)
- Quantum Science (69)
- Renewable Energy (2)
- Security (24)
- Simulation (47)
- Software (1)
- Statistics (3)
- Summit (57)
- Sustainable Energy (125)
- Transformational Challenge Reactor (7)
Media Contacts
Advanced materials research to enable energy-efficient, cost-competitive and environmentally friendly technologies for the United States and Japan is the goal of a memorandum of understanding, or MOU, between the Department of Energy’s Oak Ridge National Laboratory and Japan’s National Institute of Materials Science.
Researchers at ORNL have developed the first additive manufacturing slicing computer application to simultaneously speed and simplify digital conversion of accurate, large-format three-dimensional parts in a factory production setting.
Bill Partridge, a recently retired distinguished researcher at the U.S. Department of Energy’s Oak Ridge National Laboratory, was recognized by DOE’s Vehicle Technologies Office, or VTO, for leading world-class research in transportation throughout his 25-year career.
Leadership Tennessee has named Clarice Phelps to its 2024–2025 Signature Program Class XI to collaborate with professionals statewide to address Tennessee’s most serious issues.
Researchers at ORNL have successfully demonstrated the first 270-kW wireless power transfer to a light-duty electric vehicle. The demonstration used a Porsche Taycan and was conducted in collaboration with Volkswagen Group of America using the ORNL-developed polyphase wireless charging system.
Sara Martinez ensures the safety and longevity of aging structures at Oak Ridge National Laboratory, employing her engineering expertise to protect against natural disasters and extend the lifespan of critical facilities.
Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
Prasanna Balaprakash, a national leader in artificial intelligence, or AI, spoke to some of the highest achieving students in the country at the National Science Bowl in Washington D.C.
ORNL researchers and communications specialists took part in the inaugural AI Expo for National Competitiveness in Washington D.C, May 7 and 8, to showcase and provide insight into how the lab is leading the way for utilizing the vast possibilities of AI.
Jinghui Yuan, an R&D staff member in the Applied Research for Mobility Systems group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to a senior member of the Institute of Electrical and Electronics Engineers.