Filter News
Area of Research
- (-) Supercomputing (47)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (48)
- Clean Energy (36)
- Computer Science (3)
- Fusion and Fission (3)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (40)
- Materials for Computing (6)
- National Security (15)
- Neutron Science (16)
- Nuclear Science and Technology (5)
- Quantum information Science (5)
News Topics
- (-) Bioenergy (9)
- (-) Biotechnology (2)
- (-) Machine Learning (12)
- (-) Microscopy (7)
- (-) Molten Salt (1)
- (-) Quantum Science (20)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (33)
- Big Data (14)
- Biology (10)
- Biomedical (12)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (76)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (19)
- Frontier (25)
- Grid (4)
- High-Performance Computing (31)
- Isotopes (1)
- Materials (12)
- Materials Science (14)
- Mathematics (1)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (7)
- Quantum Computing (15)
- Security (5)
- Simulation (11)
- Software (1)
- Summit (35)
- Sustainable Energy (8)
- Transportation (5)
Media Contacts
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
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
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.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.
Researchers at ORNL used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools.