Filter News
Area of Research
- (-) Advanced Manufacturing (11)
- (-) Computational Engineering (1)
- (-) Fusion and Fission (9)
- Biology and Environment (49)
- Building Technologies (2)
- Clean Energy (102)
- Computational Biology (1)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (99)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- National Security (23)
- Neutron Science (31)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (57)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (3)
- (-) Machine Learning (2)
- (-) Materials Science (9)
- (-) Sustainable Energy (9)
- 3-D Printing/Advanced Manufacturing (25)
- Advanced Reactors (7)
- Big Data (1)
- Bioenergy (2)
- Biology (1)
- Biomedical (2)
- Buildings (1)
- Chemical Sciences (4)
- Clean Water (1)
- Climate Change (1)
- Composites (4)
- Computer Science (6)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (4)
- Environment (3)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (23)
- Grid (2)
- High-Performance Computing (3)
- Isotopes (1)
- ITER (6)
- Materials (7)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (1)
- Net Zero (1)
- Neutron Science (3)
- Nuclear Energy (28)
- Partnerships (3)
- Physics (1)
- Security (2)
- Simulation (3)
- Space Exploration (2)
- Summit (1)
- Transformational Challenge Reactor (1)
- Transportation (2)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
ORNL hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.
ORNL has entered a strategic research partnership with the United Kingdom Atomic Energy Authority, or UKAEA, to investigate how different types of materials behave under the influence of high-energy neutron sources. The $4 million project is part of UKAEA's roadmap program, which aims to produce electricity from fusion.
Three researchers at ORNL have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Researchers in the geothermal energy industry are joining forces with fusion experts at ORNL to repurpose gyrotron technology, a tool used in fusion. Gyrotrons produce high-powered microwaves to heat up fusion plasmas.
Oak Ridge National Laboratory’s Innovation Crossroads program welcomes six new science and technology innovators from across the United States to the sixth cohort.
To achieve practical energy from fusion, extreme heat from the fusion system “blanket” component must be extracted safely and efficiently. ORNL fusion experts are exploring how tiny 3D-printed obstacles placed inside the narrow pipes of a custom-made cooling system could be a solution for removing heat from the blanket.
ORNL and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
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.
Oak Ridge National Laboratory researchers determined that designing polymers specifically with upcycling in mind could reduce future plastic waste considerably and facilitate a circular economy where the material is used repeatedly.