Filter News
Area of Research
- (-) Materials (51)
- Advanced Manufacturing (2)
- Biology and Environment (10)
- Clean Energy (46)
- Computer Science (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials Characterization (1)
- Materials for Computing (7)
- Materials Under Extremes (1)
- National Security (4)
- Neutron Science (44)
- Nuclear Science and Technology (3)
- Supercomputing (15)
News Topics
- (-) Materials Science (35)
- (-) Molten Salt (2)
- (-) Neutron Science (18)
- (-) Sustainable Energy (7)
- (-) Transportation (4)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Bioenergy (8)
- Biology (4)
- Biomedical (3)
- Buildings (2)
- Chemical Sciences (20)
- Climate Change (5)
- Composites (3)
- Computer Science (8)
- Coronavirus (2)
- Critical Materials (8)
- Cybersecurity (3)
- Decarbonization (4)
- Energy Storage (19)
- Environment (7)
- Exascale Computing (1)
- Frontier (2)
- Fusion (2)
- Grid (2)
- High-Performance Computing (2)
- Isotopes (5)
- ITER (1)
- Machine Learning (2)
- Materials (38)
- Microscopy (12)
- Nanotechnology (21)
- National Security (3)
- Net Zero (1)
- Nuclear Energy (2)
- Partnerships (8)
- Physics (14)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (10)
- Renewable Energy (1)
- Security (1)
- Summit (1)
- Transformational Challenge Reactor (1)
Media Contacts
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
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.
Zheng Gai, a senior staff scientist at ORNL’s Center for Nanophase Materials Sciences, has been selected as editor-in-chief of the Spin Crossover and Spintronics section of Magnetochemistry.
Anne Campbell, an R&D associate in ORNL’s Materials Science and Technology Division since 2016, has been selected as an associate editor of the Journal of Nuclear Materials.
Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab.
Three researchers at ORNL have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.