Filter News
Area of Research
- Biology and Environment (47)
- Biology and Soft Matter (1)
- Clean Energy (50)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (3)
- Isotopes (2)
- Materials (42)
- Materials for Computing (5)
- National Security (14)
- Neutron Science (35)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (40)
News Topics
- (-) Advanced Reactors (18)
- (-) Biomedical (27)
- (-) Composites (4)
- (-) Environment (65)
- (-) Exascale Computing (11)
- (-) Grid (20)
- (-) Molten Salt (2)
- (-) Nanotechnology (26)
- (-) Neutron Science (42)
- 3-D Printing/Advanced Manufacturing (40)
- Artificial Intelligence (22)
- Big Data (20)
- Bioenergy (31)
- Biology (33)
- Biotechnology (5)
- Buildings (17)
- Chemical Sciences (20)
- Clean Water (7)
- Climate Change (36)
- Computer Science (59)
- Coronavirus (32)
- Critical Materials (6)
- Cybersecurity (11)
- Decarbonization (22)
- Element Discovery (1)
- Energy Storage (46)
- Fossil Energy (1)
- Frontier (11)
- Fusion (20)
- High-Performance Computing (19)
- Hydropower (8)
- Irradiation (1)
- Isotopes (12)
- ITER (2)
- Machine Learning (18)
- Materials (39)
- Materials Science (53)
- Mathematics (2)
- Mercury (2)
- Microscopy (21)
- National Security (19)
- Net Zero (2)
- Nuclear Energy (41)
- Partnerships (8)
- Physics (23)
- Polymers (12)
- Quantum Computing (7)
- Quantum Science (23)
- Security (7)
- Simulation (6)
- Space Exploration (6)
- Summit (24)
- Sustainable Energy (49)
- Transformational Challenge Reactor (7)
- Transportation (25)
Media Contacts
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Scientists at ORNL have created a miniaturized environment to study the ecosystem around poplar tree roots for insights into plant health and soil carbon sequestration.
As climate change leads to larger and more frequent wildfires, researchers at ORNL are using sensors, drones and machine learning to both prevent fires and reduce their damage to the electric grid.
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.
Scientists at ORNL used neutron scattering to determine whether a specific material’s atomic structure could host a novel state of matter called a spiral spin liquid.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
Chemical and environmental engineer Samarthya Bhagia is focused on achieving carbon neutrality and a circular economy by designing new plant-based materials for a range of applications from energy storage devices and sensors to environmentally friendly bioplastics.