Filter News
Area of Research
- (-) Advanced Manufacturing (9)
- (-) Supercomputing (72)
- Biology and Environment (120)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (171)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Energy Sciences (2)
- Functional Materials for Energy (2)
- Fusion and Fission (28)
- Fusion Energy (13)
- Isotopes (2)
- Materials (108)
- Materials for Computing (11)
- Mathematics (1)
- National Security (23)
- Neutron Science (34)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
News Topics
- (-) Artificial Intelligence (37)
- (-) Composites (3)
- (-) Energy Storage (8)
- (-) Environment (21)
- (-) Fusion (2)
- (-) Physics (7)
- (-) Polymers (2)
- (-) Sustainable Energy (14)
- 3-D Printing/Advanced Manufacturing (25)
- Advanced Reactors (2)
- Big Data (19)
- Bioenergy (9)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Exascale Computing (22)
- Frontier (28)
- Grid (5)
- High-Performance Computing (38)
- Isotopes (1)
- Machine Learning (15)
- Materials (21)
- Materials Science (21)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (5)
- Partnerships (1)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (14)
- Software (1)
- Space Exploration (4)
- Summit (42)
- Transformational Challenge Reactor (1)
- Transportation (6)
Media Contacts
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
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.
Oak Ridge National Laboratory researchers have developed a novel process to manufacture extreme heat resistant carbon-carbon composites. The performance of these materials will be tested in a U.S. Navy rocket that NASA will launch this fall.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
A research team at Oak Ridge National Laboratory have 3D printed a thermal protection shield, or TPS, for a capsule that will launch with the Cygnus cargo spacecraft as part of the supply mission to the International Space Station.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.