Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (4)
- (-) Big Data (7)
- (-) Grid (4)
- (-) ITER (1)
- (-) Nanotechnology (7)
- (-) Polymers (4)
- (-) Security (5)
- (-) Space Exploration (1)
- (-) Transportation (7)
- 3-D Printing/Advanced Manufacturing (3)
- Bioenergy (14)
- Biology (18)
- Biomedical (4)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (4)
- Clean Water (2)
- Climate Change (22)
- Composites (3)
- Computer Science (18)
- Coronavirus (3)
- Cybersecurity (5)
- Decarbonization (14)
- Energy Storage (4)
- Environment (27)
- Exascale Computing (4)
- Frontier (4)
- Fusion (8)
- High-Performance Computing (7)
- Hydropower (3)
- Isotopes (4)
- Machine Learning (4)
- Materials (8)
- Materials Science (13)
- Mercury (1)
- Microscopy (11)
- Molten Salt (1)
- National Security (7)
- Net Zero (2)
- Neutron Science (5)
- Nuclear Energy (8)
- Partnerships (1)
- Physics (8)
- Quantum Computing (5)
- Quantum Science (4)
- Simulation (3)
- Summit (4)
- Sustainable Energy (13)
Media Contacts
![ORNL researcher Miaofang Chi refines her microscopy techniques toward understanding how and why materials have certain properties. ORNL researcher Miaofang Chi refines her microscopy techniques toward understanding how and why materials have certain properties.](/sites/default/files/styles/list_page_thumbnail/public/M_Chi_casual_0.png?itok=uvQT5OzH)
Material surfaces and interfaces may appear flat and void of texture to the naked eye, but a view from the nanoscale reveals an intricate tapestry of atomic patterns that control the reactions between the material and its environment. Electron microscopy allows researchers to probe...
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy. Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2012-P03136%281%29.jpg?itok=i0w1NZWs)
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...