Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (97)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (94)
- Climate and Environmental Systems (4)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (2)
- Energy Sciences (1)
- Fusion and Fission (16)
- Fusion Energy (11)
- Isotopes (18)
- Materials (35)
- Materials for Computing (7)
- Mathematics (1)
- National Security (25)
- Neutron Science (13)
- Nuclear Science and Technology (11)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (80)
News Type
News Topics
- (-) Big Data (36)
- (-) Computer Science (119)
- (-) Environment (143)
- (-) Fusion (37)
- (-) Grid (43)
- (-) Isotopes (30)
- (-) Machine Learning (31)
- (-) Partnerships (15)
- (-) Summit (36)
- (-) Sustainable Energy (86)
- 3-D Printing/Advanced Manufacturing (66)
- Advanced Reactors (21)
- Artificial Intelligence (57)
- Bioenergy (63)
- Biology (73)
- Biomedical (39)
- Biotechnology (13)
- Buildings (35)
- Chemical Sciences (29)
- Clean Water (27)
- Climate Change (67)
- Composites (14)
- Coronavirus (28)
- Critical Materials (13)
- Cybersecurity (17)
- Decarbonization (51)
- Education (1)
- Emergency (2)
- Energy Storage (59)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- High-Performance Computing (53)
- Hydropower (11)
- Irradiation (2)
- ITER (5)
- Materials (74)
- Materials Science (74)
- Mathematics (6)
- Mercury (10)
- Microelectronics (2)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (36)
- Net Zero (9)
- Neutron Science (73)
- Nuclear Energy (70)
- Physics (30)
- Polymers (16)
- Quantum Computing (21)
- Quantum Science (37)
- Renewable Energy (1)
- Security (11)
- Simulation (35)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Transformational Challenge Reactor (3)
- Transportation (62)
Media Contacts
Momentum for manufacturing innovation in the United States got a boost during the inaugural MDF Innovation Days, held recently at the U.S. Department of Energy Manufacturing Demonstration Facility at Oak Ridge National Laboratory.
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.
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.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
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.
ORNL scientists contributed to a DOE technical study that found transitioning coal plants to nuclear power plants would create high-paying jobs at the converted plants and hundreds of new jobs locally.