Filter News
Area of Research
- (-) Nuclear Science and Technology (3)
- (-) Supercomputing (36)
- Biology and Environment (13)
- Clean Energy (9)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Fusion Energy (1)
- Isotopes (3)
- Materials (23)
- Materials for Computing (5)
- National Security (2)
- Neutron Science (19)
- Quantum information Science (5)
News Type
News Topics
- (-) Biomedical (11)
- (-) Physics (5)
- (-) Quantum Science (11)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (7)
- Artificial Intelligence (9)
- Big Data (8)
- Bioenergy (3)
- Biology (2)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (49)
- Coronavirus (10)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (3)
- Environment (10)
- Exascale Computing (2)
- Frontier (4)
- Fusion (7)
- Grid (2)
- High-Performance Computing (12)
- Isotopes (6)
- Machine Learning (5)
- Materials (2)
- Materials Science (12)
- Mathematics (1)
- Microscopy (4)
- Molten Salt (5)
- Nanotechnology (5)
- National Security (2)
- Neutron Science (12)
- Nuclear Energy (22)
- Polymers (2)
- Quantum Computing (5)
- Security (1)
- Space Exploration (2)
- Sustainable Energy (5)
- Transformational Challenge Reactor (3)
- Transportation (4)
Media Contacts
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
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
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
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.
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.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
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.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.