Filter News
Area of Research
- Advanced Manufacturing (11)
- Biological Systems (1)
- Biology and Environment (71)
- Building Technologies (2)
- Clean Energy (110)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (8)
- Energy Sciences (1)
- Fusion and Fission (11)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (123)
- Materials Characterization (1)
- Materials for Computing (21)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (19)
- Neutron Science (38)
- Nuclear Science and Technology (8)
- Quantum information Science (2)
- Supercomputing (66)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (92)
- (-) Biomedical (58)
- (-) Clean Water (30)
- (-) Isotopes (51)
- (-) Materials Science (138)
- (-) Microscopy (50)
- (-) Polymers (32)
- (-) Sustainable Energy (125)
- 3-D Printing/Advanced Manufacturing (120)
- Advanced Reactors (32)
- Big Data (54)
- Bioenergy (91)
- Biology (100)
- Biotechnology (22)
- Buildings (55)
- Chemical Sciences (65)
- Climate Change (98)
- Composites (27)
- Computer Science (189)
- Coronavirus (46)
- Critical Materials (28)
- Cybersecurity (34)
- Decarbonization (77)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (107)
- Environment (188)
- Exascale Computing (37)
- Fossil Energy (6)
- Frontier (42)
- Fusion (55)
- Grid (63)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (2)
- ITER (7)
- Machine Learning (47)
- Materials (136)
- Mathematics (9)
- Mercury (12)
- Microelectronics (3)
- Molten Salt (8)
- Nanotechnology (58)
- National Security (63)
- Net Zero (13)
- Neutron Science (126)
- Nuclear Energy (105)
- Partnerships (46)
- Physics (62)
- Quantum Computing (34)
- Quantum Science (67)
- Renewable Energy (2)
- Security (24)
- Simulation (47)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (58)
- Transformational Challenge Reactor (7)
- Transportation (92)
Media Contacts
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study.
Students from the first class of ORNL and Pellissippi State Community College's joint Chemical Radiation Technology Pathway toured isotope facilities at ORNL.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
ORNL scientists are working on a project to engineer and develop a cryogenic ion trap apparatus to simulate quantum spin liquids, a key research area in materials science and neutron scattering studies.