Filter News
Area of Research
- (-) Clean Energy (6)
- (-) Computer Science (3)
- (-) Materials (15)
- Advanced Manufacturing (1)
- Biology and Environment (6)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (5)
- Fusion Energy (6)
- Materials for Computing (3)
- National Security (3)
- Neutron Science (1)
- Nuclear Science and Technology (2)
- Supercomputing (7)
News Type
News Topics
- (-) Fusion (3)
- (-) Machine Learning (5)
- (-) Mercury (2)
- (-) Nanotechnology (12)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (36)
- Advanced Reactors (1)
- Artificial Intelligence (5)
- Big Data (5)
- Bioenergy (5)
- Biology (3)
- Biomedical (3)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (6)
- Clean Water (5)
- Climate Change (8)
- Composites (9)
- Computer Science (18)
- Coronavirus (7)
- Critical Materials (9)
- Cybersecurity (2)
- Decarbonization (12)
- Energy Storage (34)
- Environment (23)
- Grid (22)
- High-Performance Computing (2)
- Hydropower (2)
- Isotopes (2)
- Materials (27)
- Materials Science (30)
- Mathematics (2)
- Microscopy (10)
- Molten Salt (1)
- National Security (1)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (6)
- Physics (8)
- Polymers (9)
- Quantum Computing (2)
- Quantum Science (2)
- Security (2)
- Simulation (1)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (33)
- Transportation (37)
Media Contacts
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
Growing up in China, Yue Yuan stood beneath the world’s largest hydroelectric dam, built to harness the world’s third-longest river. Her father brought her to Three Gorges Dam every year as it was being constructed across the Yangtze River so she could witness its progress.
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
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.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
An all-in-one experimental platform developed at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences accelerates research on promising materials for future technologies.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology
Liam Collins was drawn to study physics to understand “hidden things” and honed his expertise in microscopy so that he could bring them to light.
Researchers at ORNL and the National Renewable Energy Laboratory took inspiration from flying insects to demonstrate a miniaturized gyroscope, a special sensor used in navigation technologies.