Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Supercomputing (86)
- Advanced Manufacturing (6)
- Biology and Environment (61)
- Clean Energy (95)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (108)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (25)
- Neutron Science (33)
- Nuclear Science and Technology (3)
- Quantum information Science (9)
- Sensors and Controls (1)
- Transportation Systems (1)
News Topics
- (-) Climate Change (18)
- (-) Exascale Computing (23)
- (-) Grid (5)
- (-) Machine Learning (14)
- (-) Materials Science (16)
- (-) Nanotechnology (11)
- (-) Quantum Science (24)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (19)
- Bioenergy (9)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (6)
- Energy Storage (8)
- Environment (22)
- Frontier (29)
- Fusion (1)
- High-Performance Computing (39)
- Isotopes (2)
- Materials (15)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Security (5)
- Simulation (15)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
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.
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.