Filter News
Area of Research
- (-) Neutron Science (28)
- (-) Supercomputing (57)
- Advanced Manufacturing (6)
- Biology and Environment (13)
- Clean Energy (67)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Energy Sciences (1)
- Fusion and Fission (5)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (11)
- Materials (82)
- Materials Characterization (1)
- Materials for Computing (14)
- Materials Under Extremes (1)
- National Security (18)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Cybersecurity (7)
- (-) Energy Storage (10)
- (-) Frontier (14)
- (-) Isotopes (1)
- (-) Materials Science (19)
- (-) Quantum Science (17)
- (-) Security (4)
- (-) Space Exploration (3)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (15)
- Big Data (6)
- Bioenergy (8)
- Biology (8)
- Biomedical (14)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (5)
- Climate Change (5)
- Composites (1)
- Computer Science (48)
- Coronavirus (10)
- Critical Materials (3)
- Decarbonization (2)
- Environment (10)
- Exascale Computing (8)
- Fusion (2)
- Grid (3)
- High-Performance Computing (15)
- Machine Learning (6)
- Materials (17)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (12)
- National Security (5)
- Neutron Science (63)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (12)
- Polymers (2)
- Quantum Computing (9)
- Simulation (2)
- Sustainable Energy (7)
- Transportation (5)
Media Contacts
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
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.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
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.
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL