Filter News
Area of Research
- (-) Advanced Manufacturing (18)
- (-) Fusion Energy (9)
- (-) Supercomputing (51)
- Biology and Environment (24)
- Building Technologies (1)
- Clean Energy (94)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (18)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (81)
- Materials Characterization (1)
- Materials for Computing (13)
- Materials Under Extremes (1)
- National Security (13)
- Neutron Science (33)
- Nuclear Science and Technology (20)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (19)
- (-) Biomedical (9)
- (-) Fusion (8)
- (-) Grid (3)
- (-) Machine Learning (7)
- (-) Materials Science (12)
- (-) Molten Salt (1)
- (-) Nuclear Energy (8)
- (-) Quantum Science (13)
- (-) Space Exploration (3)
- (-) Summit (20)
- Advanced Reactors (8)
- Artificial Intelligence (14)
- Big Data (5)
- Bioenergy (6)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Climate Change (5)
- Composites (3)
- Computer Science (48)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- Frontier (13)
- High-Performance Computing (14)
- Isotopes (1)
- Materials (13)
- Microscopy (5)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (9)
- Security (4)
- Simulation (2)
- Sustainable Energy (10)
- Transformational Challenge Reactor (1)
- Transportation (3)
Media Contacts
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.
Oak Ridge National Laboratory researchers recently used large-scale additive manufacturing with metal to produce a full-strength steel component for a wind turbine, proving the technique as a viable alternative to
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
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.
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.
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.