Filter News
Area of Research
- Advanced Manufacturing (14)
- Biology and Environment (21)
- Building Technologies (1)
- Clean Energy (83)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fusion and Fission (19)
- Fusion Energy (11)
- Isotopes (18)
- Materials (26)
- Materials for Computing (4)
- National Security (23)
- Neutron Science (8)
- Nuclear Science and Technology (12)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (53)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (70)
- (-) Big Data (40)
- (-) Cybersecurity (17)
- (-) Fusion (40)
- (-) Grid (45)
- (-) Isotopes (32)
- (-) Machine Learning (33)
- (-) Quantum Science (38)
- (-) Summit (36)
- Advanced Reactors (22)
- Artificial Intelligence (59)
- Bioenergy (65)
- Biology (75)
- Biomedical (40)
- Biotechnology (15)
- Buildings (41)
- Chemical Sciences (32)
- Clean Water (28)
- Climate Change (72)
- Composites (15)
- Computer Science (125)
- Coronavirus (29)
- Critical Materials (14)
- Decarbonization (57)
- Education (1)
- Emergency (2)
- Energy Storage (65)
- Environment (150)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (26)
- High-Performance Computing (54)
- Hydropower (11)
- Irradiation (2)
- ITER (5)
- Materials (75)
- Materials Science (83)
- Mathematics (7)
- Mercury (10)
- Microelectronics (2)
- Microscopy (34)
- Molten Salt (6)
- Nanotechnology (32)
- National Security (40)
- Net Zero (9)
- Neutron Science (76)
- Nuclear Energy (76)
- Partnerships (15)
- Physics (35)
- Polymers (19)
- Quantum Computing (21)
- Renewable Energy (1)
- Security (13)
- Simulation (35)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Sustainable Energy (89)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
Early career scientist Frankie White's was part of two major isotope projects at the same time he was preparing to be a father. As co-lead on a team that achieved the first synthesis and characterization of a radium compound using single crystal X-ray diffraction and part of a team that characterized the properties of promethium, White reflects on the life-changing timeline at work, and at home.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
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.
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 of researchers including a member of the Quantum Science Center at ORNL has published a review paper on the state of the field of Majorana research. The paper primarily describes four major platforms that are capable of hosting these particles, as well as the progress made over the past decade in this area.
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.
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.