Filter News
Area of Research
- (-) Clean Energy (33)
- (-) Nuclear Science and Technology (13)
- (-) Supercomputing (27)
- Advanced Manufacturing (3)
- Biology and Environment (8)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (15)
- Fusion Energy (11)
- Isotopes (18)
- Materials (28)
- Materials for Computing (4)
- National Security (16)
- Neutron Science (57)
- Quantum information Science (7)
- Sensors and Controls (1)
News Type
News Topics
- (-) Fusion (8)
- (-) Grid (28)
- (-) Isotopes (3)
- (-) Machine Learning (10)
- (-) Neutron Science (10)
- (-) Quantum Science (14)
- 3-D Printing/Advanced Manufacturing (48)
- Advanced Reactors (11)
- Artificial Intelligence (24)
- Big Data (18)
- Bioenergy (14)
- Biology (12)
- Biomedical (15)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (6)
- Clean Water (7)
- Climate Change (26)
- Composites (11)
- Computer Science (71)
- Coronavirus (16)
- Critical Materials (7)
- Cybersecurity (7)
- Decarbonization (21)
- Energy Storage (42)
- Environment (45)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (14)
- High-Performance Computing (23)
- Hydropower (2)
- Materials (22)
- Materials Science (24)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Molten Salt (4)
- Nanotechnology (8)
- National Security (4)
- Net Zero (3)
- Nuclear Energy (31)
- Partnerships (4)
- Physics (4)
- Polymers (8)
- Quantum Computing (14)
- Security (3)
- Simulation (12)
- Software (1)
- Space Exploration (7)
- Statistics (1)
- Summit (28)
- Sustainable Energy (43)
- Transformational Challenge Reactor (2)
- Transportation (46)
Media Contacts
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
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 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 of researchers at Oak Ridge National Laboratory demonstrated the ability to additively manufacture power poles from bioderived and recycled materials, which could more quickly restore electricity after natural disasters.
Oak Ridge National Laboratory researchers demonstrated their wireless charging technology on an autonomous electric vehicle for the first time in a project with Local Motors.
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.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.