Filter News
Area of Research
News Topics
- (-) Machine Learning (7)
- (-) Nanotechnology (5)
- (-) Quantum Science (9)
- (-) Summit (14)
- 3-D Printing/Advanced Manufacturing (19)
- Advanced Reactors (3)
- Artificial Intelligence (7)
- Big Data (10)
- Bioenergy (9)
- Biology (1)
- Biomedical (10)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (7)
- Composites (1)
- Computer Science (34)
- Coronavirus (14)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (16)
- Environment (20)
- Exascale Computing (3)
- Frontier (1)
- Fusion (1)
- Grid (7)
- High-Performance Computing (2)
- Isotopes (1)
- Materials (2)
- Materials Science (14)
- Mathematics (2)
- Microscopy (4)
- Molten Salt (1)
- National Security (1)
- Neutron Science (10)
- Nuclear Energy (3)
- Physics (2)
- Polymers (4)
- Sustainable Energy (21)
- Transformational Challenge Reactor (2)
- Transportation (14)
Media Contacts
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.
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.
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
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.
An international team of researchers has discovered the hydrogen atoms in a metal hydride material are much more tightly spaced than had been predicted for decades — a feature that could possibly facilitate superconductivity at or near room temperature and pressure.
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.
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.