Filter News
Area of Research
- (-) Chemistry and Physics at Interfaces (7)
- (-) Neutron Science (72)
- (-) Supercomputing (153)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (102)
- Biology and Soft Matter (4)
- Building Technologies (2)
- Chemical and Engineering Materials (3)
- Clean Energy (168)
- Climate and Environmental Systems (7)
- Computational Biology (1)
- Computational Chemistry (5)
- Computational Engineering (1)
- Computer Science (3)
- Data (1)
- Earth Sciences (1)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (7)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (8)
- Fusion and Fission (32)
- Fusion Energy (7)
- Geographic Information Science and Technology (1)
- Isotopes (21)
- Materials (122)
- Materials for Computing (13)
- Materials Synthesis from Atoms to Systems (8)
- Materials Under Extremes (7)
- National Security (45)
- Neutron Data Analysis and Visualization (2)
- Nuclear Science and Technology (27)
- Quantum Condensed Matter (3)
- Quantum information Science (4)
- Renewable Energy (2)
- Sensors and Controls (2)
- Transportation Systems (4)
News Type
News Topics
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biomedical (10)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (12)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (3)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- Grid (1)
- High-Performance Computing (20)
- Machine Learning (9)
- Materials (9)
- Materials Science (13)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (35)
- Nuclear Energy (3)
- Physics (4)
- Polymers (1)
- Quantum Computing (10)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (3)
- Transportation (4)
Media Contacts
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
The world is full of “huge, gnarly problems,” as ORNL research scientist and musician Melissa Allen-Dumas puts it — no matter what line of work you’re in. That was certainly the case when she would wrestle with a tough piece of music.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
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
The receipt of a nuclear fuel canister is boosting the research of an Oak Ridge National Laboratory team investigating methods to help the nation effectively dispose of nuclear waste for the long term.
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.