Filter News
Area of Research
- (-) Biological Systems (1)
- (-) National Security (24)
- (-) Neutron Science (9)
- Biology and Environment (23)
- Biology and Soft Matter (1)
- Clean Energy (21)
- Computational Biology (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (5)
- Isotopes (4)
- Materials (22)
- Materials for Computing (1)
- Nuclear Science and Technology (5)
- Supercomputing (16)
News Topics
- (-) Biomedical (7)
- (-) Buildings (1)
- (-) Chemical Sciences (1)
- (-) Clean Water (2)
- (-) National Security (22)
- (-) Physics (1)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (10)
- Big Data (5)
- Bioenergy (5)
- Biology (4)
- Biotechnology (1)
- Climate Change (4)
- Computer Science (16)
- Coronavirus (4)
- Cybersecurity (8)
- Decarbonization (3)
- Energy Storage (2)
- Environment (6)
- Fossil Energy (1)
- Grid (3)
- High-Performance Computing (4)
- Machine Learning (11)
- Materials (6)
- Materials Science (8)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (3)
- Neutron Science (33)
- Nuclear Energy (3)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (5)
- Simulation (1)
- Space Exploration (1)
- Summit (2)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
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.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
Using novel data sets and computing systems, researchers at ORNL are simulating how climate change affects the safety and security of the country.
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
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.
As Hurricane Dorian raged through the Bahamas, researchers at Oak Ridge National Laboratory worked around the clock to aid recovery efforts for one of the Caribbean’s worst storms ever.
Pick your poison. It can be deadly for good reasons such as protecting crops from harmful insects or fighting parasite infection as medicine — or for evil as a weapon for bioterrorism. Or, in extremely diluted amounts, it can be used to enhance beauty.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.