![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)
- Biological Systems (1)
- Biology and Environment (45)
- Clean Energy (42)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (36)
- Fusion Energy (6)
- Isotopes (6)
- Materials (31)
- Materials for Computing (5)
- National Security (8)
- Neutron Science (12)
- Nuclear Science and Technology (21)
- Quantum information Science (5)
- Supercomputing (48)
News Type
News Topics
- (-) Advanced Reactors (13)
- (-) Bioenergy (57)
- (-) Biomedical (33)
- (-) Composites (12)
- (-) Exascale Computing (29)
- (-) Frontier (28)
- (-) Fusion (39)
- (-) Molten Salt (2)
- (-) Nuclear Energy (69)
- (-) Quantum Science (35)
- (-) Transportation (37)
- 3-D Printing/Advanced Manufacturing (59)
- Artificial Intelligence (56)
- Big Data (31)
- Biology (66)
- Biotechnology (12)
- Buildings (25)
- Chemical Sciences (38)
- Clean Water (14)
- Climate Change (58)
- Computer Science (103)
- Coronavirus (21)
- Critical Materials (6)
- Cybersecurity (20)
- Decarbonization (49)
- Education (1)
- Emergency (2)
- Energy Storage (45)
- Environment (119)
- Fossil Energy (4)
- Grid (28)
- High-Performance Computing (56)
- Hydropower (5)
- Irradiation (1)
- Isotopes (36)
- ITER (3)
- Machine Learning (24)
- Materials (75)
- Materials Science (67)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (28)
- Nanotechnology (28)
- National Security (49)
- Net Zero (9)
- Neutron Science (61)
- Partnerships (25)
- Physics (36)
- Polymers (13)
- Quantum Computing (23)
- Renewable Energy (1)
- Security (14)
- Simulation (36)
- Software (1)
- Space Exploration (13)
- Statistics (1)
- Summit (33)
- Sustainable Energy (55)
- Transformational Challenge Reactor (4)
Media Contacts
![As part of DOE’s HPC4Mobility initiative ORNL researchers developed machine learning algorithms that can control smart traffic lights at intersections to facilitate the smooth flow of traffic and increase fuel efficiency.](/sites/default/files/styles/list_page_thumbnail/public/2019-09/GRIDSMART%20camera%20Leesburg.jpg?h=69d5bf00&itok=fs1X_e0D)
A modern, healthy transportation system is vital to the nation’s economic security and the American standard of living. The U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) is engaged in a broad portfolio of scientific research for improved mobility
![Tyler Gerczak, a materials scientist at Oak Ridge National Laboratory, is focused on post-irradiation examination and separate effects testing of current fuels for light water reactors and advanced fuel types that could be used in future nuclear systems. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-09/2019-P08075.jpg?h=c57df109&itok=tyDu6ny-)
Ask Tyler Gerczak to find a negative in working at the Department of Energy’s Oak Ridge National Laboratory, and his only complaint is the summer weather. It is not as forgiving as the summers in Pulaski, Wisconsin, his hometown.
![Weiju Ren’s knowledgebase is making the nuclear world safer. Called DOE’s Gen IV Materials Handbook, it manages data about structural materials for the Very High Temperature Reactor. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-08/2019-P03842_0.jpg?h=038cccb3&itok=m32lceNT)
Six new nuclear reactor technologies are set to deploy for commercial use between 2030 and 2040. Called Generation IV nuclear reactors, they will operate with improved performance at dramatically higher temperatures than today’s reactors.
![Stephanie Galanie](/sites/default/files/styles/list_page_thumbnail/public/2019-07/2019-P06356.jpg?h=036a71b7&itok=YXoJCNle)
Early career scientist Stephanie Galanie has applied her expertise in synthetic biology to a number of challenges in academia and private industry. She’s now bringing her skills in high-throughput bio- and analytical chemistry to accelerate research on feedstock crops as a Liane B. Russell Fellow at Oak Ridge National Laboratory.
![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.
![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.
![Combining fundamental chemistry with high-performance computing resources at ORNL, researchers demonstrate a more efficient method for recovering uranium from seawater, unveiling a prototype material that outperforms best-in-class uranium adsorbents. Credit: Alexander Ivanov/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/H2BHT_0.png?h=242693e7&itok=t7JWX0Wh)
Scientists have demonstrated a new bio-inspired material for an eco-friendly and cost-effective approach to recovering uranium from seawater.
![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.
![ORNL staff members (from left) Ashley Shields, Michael Galloway, Ketan Maheshwari and Andrew Miskowiec are collaborating on a project focused on predicting and analyzing crystal structures of new uranium oxide phases. Credit: Jason Richards/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2019-03/teamphotoforhighlight_0.jpg?h=a00326b7&itok=O4yDtVj6)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
![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.