![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- (-) Fusion Energy (1)
- (-) Materials (10)
- (-) Supercomputing (41)
- Biology and Environment (43)
- Biology and Soft Matter (1)
- Clean Energy (39)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (7)
- Materials for Computing (1)
- National Security (14)
- Neutron Science (4)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (21)
- (-) Big Data (13)
- (-) Climate Change (12)
- (-) Grid (3)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (5)
- Bioenergy (5)
- Biology (6)
- Biomedical (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (8)
- Clean Water (2)
- Composites (2)
- Computer Science (48)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (8)
- Environment (18)
- Exascale Computing (12)
- Frontier (13)
- Fusion (6)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (7)
- Materials (22)
- Materials Science (25)
- Mathematics (1)
- Microscopy (9)
- Nanotechnology (11)
- National Security (3)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (15)
- Partnerships (3)
- Physics (15)
- Polymers (5)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Transformational Challenge Reactor (2)
- Transportation (7)
Media Contacts
![The hybrid inverter developed by ORNL is an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and interact efficiently with the utility power grid. Credit: Carlos Jones, ORNL/U.S. Dept of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2020-P09169.jpg?h=42d56c10&itok=Yb1_gWYE)
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
![The CrossVis application includes a parallel coordinates plot (left), a tiled image view (right) and other interactive data views. Credit: Chad Steed/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-07/CrossVisOverview_2.png?h=fd2b4cf7&itok=Mz8wRoMo)
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
![At the U.S. Department of Energy Manufacturing Demonstration Facility at ORNL, this part for a scaled-down prototype of a reactor was produced for industry partner Kairos Power.](/sites/default/files/styles/list_page_thumbnail/public/2020-05/Kairos%20PI%201_0.jpg?h=71976bb4&itok=EYVPB9H3)
Scientists at the Department of Energy Manufacturing Demonstration Facility at ORNL have their eyes on the prize: the Transformational Challenge Reactor, or TCR, a microreactor built using 3D printing and other new approaches that will be up and running by 2023.
![Coronavirus graphic](/sites/default/files/styles/list_page_thumbnail/public/2020-04/covid19_jh_0.png?h=d1cb525d&itok=PyngFUZw)
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
![Edge computing is both dependent on and greatly influencing a host of promising technologies including (clockwise from top left): quantum computing; high-performance computing; neuromorphic computing; and carbon nanotubes.](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Jones%20image%202-12-20.png?h=2e876d46&itok=fT3y4uz9)
We have a data problem. Humanity is now generating more data than it can handle; more sensors, smartphones, and devices of all types are coming online every day and contributing to the ever-growing global dataset.
![The image visualizes how the team’s multitask convolutional neural network classifies primary cancer sites. Image credit: Hong-Jun Yoon/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-02/shot_0.png?h=49ab6177&itok=IXL5Ingy)
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
![ADIOS logo](/sites/default/files/styles/list_page_thumbnail/public/2020-01/adioslogo.png?h=e3ff4d16&itok=R5lbFzkO)
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.
![An artist rendering of the SKA’s low-frequency, cone-shaped antennas in Western Australia. Credit: SKA Project Office.](/sites/default/files/styles/list_page_thumbnail/public/2019-12/SKA1_AU_closeup_midres_0.jpg?h=2e9e19b1&itok=jNXmboXl)
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array (SKA), a project focused on designing and building the world’s largest radio telescope. Although the SKA will collect enormous amounts of precise astronomical data in record time, scientific breakthroughs will only be possible with systems able to efficiently process that data.
![The students analyzed diatom images like this one to compare wild and genetically modified strains of these organisms. Credit: Alison Pawlicki/Oak Ridge National Laboratory, US Department of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-11/RI4362007.png?h=37702503&itok=9lQReLRe)
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
![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