Filter News
Area of Research
- (-) National Security (30)
- (-) Supercomputing (86)
- Advanced Manufacturing (10)
- Biological Systems (2)
- Biology and Environment (129)
- Biology and Soft Matter (1)
- Clean Energy (126)
- Climate and Environmental Systems (5)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotopes (5)
- Materials (101)
- Materials Characterization (2)
- Materials for Computing (14)
- Materials Under Extremes (1)
- Mathematics (1)
- Neutron Science (31)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Big Data (22)
- (-) Bioenergy (11)
- (-) Environment (25)
- (-) Frontier (28)
- (-) Machine Learning (23)
- (-) Materials (16)
- (-) Molten Salt (1)
- (-) Security (14)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Biology (14)
- Biomedical (17)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Exascale Computing (22)
- Fusion (2)
- Grid (11)
- High-Performance Computing (40)
- Isotopes (1)
- Materials Science (17)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (11)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (8)
- Partnerships (4)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
Horizon31, LLC has exclusively licensed a novel communication system that allows users to reliably operate unmanned vehicles such as drones from anywhere in the world using only an internet connection.
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.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
Scientists from the Department of Energy’s Oak Ridge National Laboratory and a dozen other international research institutions have produced the most elaborate set of projections to date that illustrates possible futures for major monsoon regions.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
OAK RIDGE, Tenn., May 5, 2020 — By 2050, the United States will likely be exposed to a larger number of extreme climate events, including more frequent heat waves, longer droughts and more intense floods, which can lead to greater risks for human health, ecosystem stability and regional economies.
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.