Filter News
Area of Research
- (-) National Security (15)
- (-) Supercomputing (64)
- Biological Systems (1)
- Biology and Environment (87)
- Biology and Soft Matter (1)
- Clean Energy (78)
- Climate and Environmental Systems (4)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Energy Sciences (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (5)
- Materials (27)
- Materials for Computing (5)
- Mathematics (1)
- Neutron Science (20)
- Nuclear Science and Technology (1)
- Quantum information Science (7)
News Type
News Topics
- (-) Biomedical (11)
- (-) Energy Storage (3)
- (-) Environment (20)
- (-) Machine Learning (14)
- (-) Quantum Science (14)
- (-) Summit (27)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (26)
- Big Data (20)
- Bioenergy (4)
- Biology (9)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (17)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- Grid (6)
- High-Performance Computing (25)
- Materials (6)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (4)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Security (7)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
![Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (2–8), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.](/sites/default/files/styles/list_page_thumbnail/public/2019-03/Slide1_0.png?h=c855054e&itok=aNbgxXsc)
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
![Supercomputing-Memory_boost1.jpg Supercomputing-Memory_boost1.jpg](/sites/default/files/styles/list_page_thumbnail/public/Supercomputing-Memory_boost1.jpg?itok=dDR8CnYC)
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
![Joseph Lukens, Raphael Pooser, and Nick Peters (from left) of ORNL’s Quantum Information Science Group developed and tested a new interferometer made from highly nonlinear fiber in pursuit of improved sensitivity at the quantum scale. Credit: Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P09674%5B4%5D.jpg?h=1d98ccbd&itok=ztuyXqpm)
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
![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...