Filter News
Area of Research
- (-) Nuclear Science and Technology (17)
- (-) Supercomputing (39)
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (20)
- Clean Energy (48)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (15)
- Fusion Energy (11)
- Isotopes (19)
- Materials (55)
- Materials for Computing (11)
- National Security (16)
- Neutron Science (58)
- Quantum information Science (7)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) Biomedical (12)
- (-) Fusion (8)
- (-) Grid (1)
- (-) Isotopes (3)
- (-) Machine Learning (8)
- (-) Materials Science (11)
- (-) Molten Salt (4)
- (-) Neutron Science (8)
- (-) Quantum Science (13)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (9)
- Artificial Intelligence (22)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- High-Performance Computing (23)
- Materials (5)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Nuclear Energy (29)
- Physics (4)
- Polymers (2)
- Quantum Computing (14)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (5)
- Summit (27)
- Sustainable Energy (4)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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 rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
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.
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.
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.