Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Computer Science (1)
- (-) Materials (2)
- Advanced Manufacturing (4)
- Biology and Environment (29)
- Building Technologies (1)
- Clean Energy (38)
- Computational Biology (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Materials for Computing (5)
- Mathematics (1)
- National Security (2)
- Neutron Science (2)
- Nuclear Science and Technology (1)
- Supercomputing (9)
News Topics
- (-) Artificial Intelligence (1)
- (-) Clean Water (1)
- (-) Composites (1)
- (-) Environment (1)
- (-) Polymers (1)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (2)
- Bioenergy (1)
- Biology (1)
- Biomedical (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (2)
- Computer Science (8)
- Critical Materials (1)
- Cybersecurity (1)
- Energy Storage (1)
- Frontier (1)
- Fusion (1)
- Grid (1)
- High-Performance Computing (2)
- Isotopes (1)
- ITER (1)
- Materials (7)
- Materials Science (5)
- Mathematics (1)
- Microscopy (5)
- Nanotechnology (6)
- Neutron Science (3)
- Physics (1)
- Quantum Computing (1)
- Quantum Science (4)
- Space Exploration (1)
- Summit (1)
Media Contacts
![Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-11/2008-P01679_0.jpg?h=6acbff97&itok=ewBiiftq)
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
![An algorithm developed and field-tested by ORNL researchers uses machine learning to maintain homeowners’ preferred temperatures year-round while minimizing energy costs. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2019-P07408_2.jpg?h=8f9cfe54&itok=jBvKdqIv)
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
![ORNL’s Sergei Kalinin and Rama Vasudevan (foreground) use scanning probe microscopy to study bulk ferroelectricity and surface electrochemistry -- and generate a lot of data. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-05/KalininVasudevan_2017-P03014_0.jpg?h=1116cd87&itok=KEEOB4hi)
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.
![Urban climate modeling](/sites/default/files/styles/list_page_thumbnail/public/2021-03/urbanclimate_sized.jpeg?h=0d9d21a1&itok=-ICe9HqY)
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.