Filter News
Area of Research
- (-) Materials (120)
- (-) Neutron Science (42)
- (-) Nuclear Science and Technology (13)
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (43)
- Clean Energy (108)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (29)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials Characterization (1)
- Materials for Computing (17)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (23)
- Sensors and Controls (1)
- Supercomputing (52)
- Transportation Systems (1)
News Topics
- (-) Biomedical (18)
- (-) Clean Water (4)
- (-) Critical Materials (13)
- (-) Energy Storage (38)
- (-) Fusion (16)
- (-) Machine Learning (7)
- (-) Materials Science (88)
- (-) Security (3)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (14)
- Artificial Intelligence (12)
- Big Data (3)
- Bioenergy (16)
- Biology (9)
- Biotechnology (1)
- Buildings (5)
- Chemical Sciences (33)
- Climate Change (5)
- Composites (9)
- Computer Science (26)
- Coronavirus (12)
- Cybersecurity (6)
- Decarbonization (10)
- Environment (21)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (4)
- Grid (5)
- High-Performance Computing (6)
- Irradiation (1)
- Isotopes (16)
- ITER (1)
- Materials (80)
- Mathematics (1)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (43)
- National Security (4)
- Net Zero (1)
- Neutron Science (108)
- Nuclear Energy (50)
- Partnerships (11)
- Physics (32)
- Polymers (18)
- Quantum Computing (4)
- Quantum Science (15)
- Renewable Energy (1)
- Simulation (1)
- Space Exploration (10)
- Summit (6)
- Sustainable Energy (15)
- Transformational Challenge Reactor (5)
- Transportation (19)
Media Contacts
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.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
ORNL scientists found that a small tweak created big performance improvements in a type of solid-state battery, a technology considered vital to broader electric vehicle adoption.
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
ORNL scientists combined two ligands, or metal-binding molecules, to target light and heavy lanthanides simultaneously for exceptionally efficient separation.
Andrew Ullman, Distinguished Staff Fellow at Oak Ridge National Laboratory, is using chemistry to devise a better battery
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.
A scientific instrument at ORNL could help create a noninvasive cancer treatment derived from a common tropical plant.