Filter News
Area of Research
- (-) Supercomputing (48)
- Advanced Manufacturing (6)
- Biology and Environment (47)
- Clean Energy (82)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (10)
- Fusion Energy (7)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (40)
- Materials for Computing (8)
- Mathematics (1)
- National Security (15)
- Neutron Science (20)
- Nuclear Science and Technology (18)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (2)
News Type
News Topics
- (-) Coronavirus (7)
- (-) Environment (7)
- (-) Grid (3)
- (-) Machine Learning (6)
- (-) Molten Salt (1)
- (-) Nuclear Energy (2)
- (-) Quantum Science (13)
- (-) Security (4)
- (-) Summit (20)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Climate Change (5)
- Computer Science (47)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Exascale Computing (8)
- Frontier (13)
- Fusion (1)
- High-Performance Computing (14)
- Isotopes (1)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (9)
- Simulation (2)
- Space Exploration (2)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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 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
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.
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.