Filter News
Area of Research
- (-) Supercomputing (14)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (10)
- Clean Energy (11)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (20)
- Materials for Computing (1)
- National Security (9)
- Neutron Science (7)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
News Topics
- (-) Biomedical (6)
- (-) Cybersecurity (4)
- (-) Microscopy (2)
- (-) Physics (2)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (8)
- Bioenergy (4)
- Biology (5)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (35)
- Coronavirus (3)
- Critical Materials (1)
- Decarbonization (2)
- Energy Storage (4)
- Environment (6)
- Exascale Computing (8)
- Frontier (9)
- Grid (3)
- High-Performance Computing (8)
- Machine Learning (5)
- Materials (8)
- Materials Science (6)
- Nanotechnology (4)
- National Security (3)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Quantum Computing (7)
- Quantum Science (8)
- Security (3)
- Simulation (5)
- Space Exploration (3)
- Summit (16)
- Sustainable Energy (4)
- Transportation (1)
Media Contacts
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.