Filter News
Area of Research
- (-) Supercomputing (62)
- Advanced Manufacturing (4)
- Biology and Environment (64)
- Biology and Soft Matter (1)
- Clean Energy (73)
- Climate and Environmental Systems (2)
- Computer Science (3)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (30)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (52)
- Materials for Computing (10)
- National Security (28)
- Neutron Science (16)
- Nuclear Science and Technology (25)
- Quantum information Science (5)
- Sensors and Controls (1)
News Type
News Topics
- (-) Big Data (14)
- (-) Climate Change (15)
- (-) Machine Learning (12)
- (-) Nuclear Energy (3)
- (-) Quantum Science (20)
- (-) Security (5)
- (-) Sustainable Energy (8)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (33)
- Bioenergy (9)
- Biology (10)
- Biomedical (12)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Computer Science (77)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (19)
- Frontier (25)
- Grid (4)
- High-Performance Computing (31)
- Isotopes (1)
- Materials (12)
- Materials Science (14)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Quantum Computing (15)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (35)
- 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.
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.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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
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 rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.