Filter News
Area of Research
- (-) Biology and Environment (23)
- (-) National Security (33)
- (-) Neutron Science (10)
- Advanced Manufacturing (3)
- Clean Energy (63)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (39)
- Materials for Computing (5)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (32)
News Topics
- (-) Cybersecurity (19)
- (-) Grid (9)
- (-) Machine Learning (22)
- (-) Microscopy (13)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (17)
- Advanced Reactors (3)
- Artificial Intelligence (26)
- Big Data (17)
- Bioenergy (51)
- Biology (76)
- Biomedical (27)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (14)
- Clean Water (13)
- Climate Change (44)
- Composites (5)
- Computer Science (47)
- Coronavirus (20)
- Critical Materials (1)
- Decarbonization (22)
- Energy Storage (14)
- Environment (100)
- Exascale Computing (5)
- Fossil Energy (1)
- Frontier (5)
- Fusion (2)
- High-Performance Computing (26)
- Hydropower (8)
- Isotopes (2)
- Materials (26)
- Materials Science (29)
- Mathematics (4)
- Mercury (7)
- Molten Salt (1)
- Nanotechnology (18)
- National Security (36)
- Net Zero (2)
- Neutron Science (100)
- Nuclear Energy (8)
- Partnerships (9)
- Physics (12)
- Polymers (3)
- Quantum Computing (1)
- Quantum Science (8)
- Renewable Energy (1)
- Security (13)
- Simulation (15)
- Summit (16)
- Sustainable Energy (33)
- Transformational Challenge Reactor (1)
- Transportation (10)
Media Contacts
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
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 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.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
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.
Oak Ridge National Laboratory researchers have created a technology that more realistically emulates user activities to improve cyber testbeds and ultimately prevent cyberattacks.
Researchers from NASA’s Jet Propulsion Laboratory and Oak Ridge National Laboratory successfully created amorphous ice, similar to ice in interstellar space and on icy worlds in our solar system. They documented that its disordered atomic behavior is unlike any ice on Earth.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.