Filter News
Area of Research
- (-) Nuclear Science and Technology (2)
- (-) Supercomputing (23)
- Biology and Environment (30)
- Biology and Soft Matter (1)
- Clean Energy (22)
- Computer Science (1)
- Fusion and Fission (1)
- Isotopes (17)
- Materials (15)
- Materials for Computing (2)
- National Security (18)
- Neutron Science (6)
- Quantum information Science (2)
News Topics
- (-) Big Data (13)
- (-) Cybersecurity (2)
- (-) Decarbonization (3)
- (-) Isotopes (3)
- (-) Machine Learning (7)
- (-) Microscopy (2)
- (-) Net Zero (1)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (4)
- Artificial Intelligence (21)
- Bioenergy (3)
- Biology (6)
- Biomedical (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Coronavirus (7)
- Energy Storage (1)
- Environment (13)
- Exascale Computing (13)
- Frontier (14)
- Fusion (6)
- Grid (1)
- High-Performance Computing (21)
- Materials (4)
- Materials Science (10)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (3)
- Neutron Science (6)
- Nuclear Energy (18)
- Physics (5)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (11)
- Software (1)
- Summit (21)
- Sustainable Energy (3)
- Transformational Challenge Reactor (2)
- Transportation (3)
Media Contacts
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
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.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.
Radioactive isotopes power some of NASA’s best-known spacecraft. But predicting how radiation emitted from these isotopes might affect nearby materials is tricky
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
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.
We have a data problem. Humanity is now generating more data than it can handle; more sensors, smartphones, and devices of all types are coming online every day and contributing to the ever-growing global dataset.
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.