![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (41)
- Biology and Soft Matter (1)
- Clean Energy (46)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Isotopes (2)
- Materials (26)
- Materials for Computing (6)
- National Security (15)
- Neutron Science (14)
- Nuclear Science and Technology (3)
- Supercomputing (56)
News Type
News Topics
- (-) Artificial Intelligence (48)
- (-) Clean Water (14)
- (-) Climate Change (51)
- (-) Grid (25)
- (-) Materials Science (47)
- (-) Mercury (7)
- (-) Space Exploration (12)
- (-) Summit (31)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (8)
- Big Data (27)
- Bioenergy (51)
- Biology (60)
- Biomedical (29)
- Biotechnology (12)
- Buildings (20)
- Chemical Sciences (27)
- Composites (8)
- Computer Science (87)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (25)
- Fusion (31)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (28)
- ITER (2)
- Machine Learning (22)
- Materials (44)
- Mathematics (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (42)
- Net Zero (8)
- Neutron Science (49)
- Nuclear Energy (56)
- Partnerships (19)
- Physics (30)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (31)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Statistics (1)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
Media Contacts
![Edmon Begoli](/sites/default/files/styles/list_page_thumbnail/public/2019-08/2017-P04474.png?h=4b95bb49&itok=1YkLx9Jz)
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
![International Conference on Neuromorphic Systems (ICONS)](/sites/default/files/styles/list_page_thumbnail/public/2019-08/logo_no_text.png?h=2c1ce78b&itok=xm-saFEM)
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
![Isabelle Snyder standing in front of screen dislaying national map of US power grids](/sites/default/files/styles/list_page_thumbnail/public/2021-02/isabellesnyder_small.jpg?h=33dc0d3a&itok=xvqSkqXw)
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
![Hong Wang, a senior distinguished researcher at the National Transportation Research Center, uses applied mathematics and modeling to improve transportation systems.](/sites/default/files/styles/list_page_thumbnail/public/2019-07/2019-p04171.jpg?h=05de60d4&itok=ilLqUi-6)
In Hong Wang’s world, nothing is beyond control. Before joining Oak Ridge National Laboratory as a senior distinguished researcher in transportation systems, he spent more than three decades studying the control of complex industrial systems in the United Kingdom.
![Alex Johs at ORNL's Spallation Neutron Source](/sites/default/files/styles/list_page_thumbnail/public/2019-06/2019-p01807.jpg?h=f8570409&itok=KBUOueeI)
Sometimes solutions to the biggest problems can be found in the smallest details. The work of biochemist Alex Johs at Oak Ridge National Laboratory bears this out, as he focuses on understanding protein structures and molecular interactions to resolve complex global problems like the spread of mercury pollution in waterways and the food supply.
![Veda Galigekere is leading Oak Ridge National Laboratory’s work on fast, efficient, wireless charging of electric vehicles.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/2019-P00214_0.jpg?h=9f7a701f&itok=crDMVmT6)
Galigekere is principal investigator for the breakthrough work in fast, wireless charging of electric vehicles being performed at the National Transportation Research Center at Oak Ridge National Laboratory.
![The researchers used the new model to accurately identify clusters of gene mutations (spheres), which helped them study the emergence of various genetic diseases. Image credit: Ivaylo Ivanov, Georgia State University.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/med-res-image6_3mb-1.png?h=bf86d530&itok=wTUjuyV_)
Environmental conditions, lifestyle choices, chemical exposure, and foodborne and airborne pathogens are among the external factors that can cause disease. In contrast, internal genetic factors can be responsible for the onset and progression of diseases ranging from degenerative neurological disorders to some cancers.
![ORNL collaborator Hsiu-Wen Wang led the neutron scattering experiments at the Spallation Neutron Source to probe complex electrolyte solutions that challenge nuclear waste processing at Hanford and other sites. Credit: Genevieve Martin/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/2019-P01240_0.jpg?h=c6980913&itok=RLLi1M-g)
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.
![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.
![From left, Amit Naskar, Ngoc Nguyen and Christopher Bowland in ORNL’s Carbon and Composites Group bring a new capability—structural health monitoring—to strong, lightweight materials promising for transportation applications. From left, Amit Naskar, Ngoc Nguyen and Christopher Bowland in ORNL’s Carbon and Composites Group bring a new capability—structural health monitoring—to strong, lightweight materials promising for transportation applications.](/sites/default/files/styles/list_page_thumbnail/public/IMAGE1_%202018-P06604_0.jpg?itok=9-iSLuHf)
Carbon fiber composites—lightweight and strong—are great structural materials for automobiles, aircraft and other transportation vehicles. They consist of a polymer matrix, such as epoxy, into which reinforcing carbon fibers have been embedded. Because of differences in the mecha...