Filter News
Area of Research
News Type
News Topics
- (-) Climate Change (5)
- (-) Cybersecurity (2)
- (-) Frontier (1)
- (-) Isotopes (4)
- (-) Quantum Science (6)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (10)
- Artificial Intelligence (6)
- Big Data (9)
- Bioenergy (6)
- Biology (4)
- Biomedical (16)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Computer Science (26)
- Coronavirus (14)
- Energy Storage (14)
- Environment (16)
- Exascale Computing (2)
- Fusion (12)
- Grid (6)
- High-Performance Computing (1)
- Machine Learning (5)
- Materials Science (19)
- Mathematics (2)
- Mercury (1)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (5)
- Neutron Science (13)
- Nuclear Energy (23)
- Physics (8)
- Polymers (3)
- Security (2)
- Summit (10)
- Sustainable Energy (12)
- Transformational Challenge Reactor (3)
- Transportation (9)
Media Contacts
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.
Oak Ridge National Laboratory researchers have discovered a better way to separate actinium-227, a rare isotope essential for an FDA-approved cancer treatment.
An international team of scientists found that rules governing plant growth hold true even at the edges of the world in the Arctic tundra.
In the early 2000s, high-performance computing experts repurposed GPUs — common video game console components used to speed up image rendering and other time-consuming tasks
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
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.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
A team from the ORNL has conducted a series of experiments to gain a better understanding of quantum mechanics and pursue advances in quantum networking and quantum computing, which could lead to practical applications in cybersecurity and other areas.