![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (54)
- Building Technologies (2)
- Clean Energy (59)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Materials (30)
- Materials for Computing (4)
- National Security (9)
- Neutron Science (11)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Supercomputing (52)
News Type
News Topics
- (-) Artificial Intelligence (62)
- (-) Bioenergy (67)
- (-) Composites (17)
- (-) Frontier (26)
- (-) Microelectronics (3)
- (-) Physics (34)
- (-) Quantum Computing (26)
- (-) Sustainable Energy (93)
- 3-D Printing/Advanced Manufacturing (73)
- Advanced Reactors (21)
- Big Data (46)
- Biology (78)
- Biomedical (41)
- Biotechnology (15)
- Buildings (41)
- Chemical Sciences (38)
- Clean Water (28)
- Climate Change (75)
- Computer Science (127)
- Coronavirus (28)
- Critical Materials (17)
- Cybersecurity (17)
- Decarbonization (56)
- Education (1)
- Emergency (2)
- Energy Storage (61)
- Environment (149)
- Exascale Computing (28)
- Fossil Energy (5)
- Fusion (40)
- Grid (47)
- High-Performance Computing (57)
- Hydropower (11)
- Irradiation (2)
- Isotopes (34)
- ITER (5)
- Machine Learning (34)
- Materials (79)
- Materials Science (81)
- Mathematics (9)
- Mercury (10)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (48)
- Net Zero (10)
- Neutron Science (76)
- Nuclear Energy (75)
- Partnerships (20)
- Polymers (17)
- Quantum Science (41)
- Renewable Energy (1)
- Security (13)
- Simulation (39)
- Software (1)
- Space Exploration (22)
- Statistics (2)
- Summit (37)
- Transformational Challenge Reactor (3)
- Transportation (62)
Media Contacts
![The AI for Energy Report provides a framework for using AI to accelerate decarbonization of the U.S. economy. Credit: Argonne National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/2024-05/CLS_AI-for-Energy-Workshop-Report_1600x900_shutterstock_209822020_R2.jpg?h=748c0655&itok=uYkfSuJp)
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
![Testing with ORNL tribology equipment found that new ionic liquid-based lubricant additives developed for water turbines significantly reduced friction and equipment wear. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/MicrosoftTeams-image%20%286%29.png?h=c6980913&itok=aecfEFxo)
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed lubricant additives that protect both water turbine equipment and the surrounding environment.
![The EPA approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and Oak Ridge National Laboratory that can significantly reduce vehicle emissions when added to conventional fuels. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Seay_Vertimass-fuel-publication-v3%20copy.jpg?h=e5aec6c8&itok=0-KjrdzO)
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
![The transportation and industrial sectors together account for more than 50% of the country’s carbon footprint. Defossilization could help reduce new emissions from these and other difficult-to-electrify segments of the U.S. economy.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/GettyImages-887377090%20%281%29.jpg?h=73e7f248&itok=QYmqPfWv)
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
![ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S. Credit: Andy Sproles/ ORNL,U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/hurricanSolar_v1.jpg?h=d2fcd49e&itok=p12nhk7c)
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.
![Researchers relied on support from ORNL’s Quantum Computing User Program to simulate a key quantum state at one of the largest scales reported. The findings could mark a step toward improving quantum simulations. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2024-04/QCUP_Potterstudy.png?h=ae114f5c&itok=vAelg9M2)
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.
![SOS26 attendees standing in front of the Kennedy Space Center on Merrit Island, Florida the night of their dinner reception provided by the conference sponsors. The keynote speaker was Rupak Biswas from NASA. Credit: Judy Potok/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/IMG_4436%5B16%5D%20%281%29.jpeg?h=51920af5&itok=cf3iVu5B)
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.
![ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/Erin%20Webb%202022-P09128.jpg?h=c6980913&itok=pCWWVGaU)
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
![ORNL’s Suhas Sreehari explains the algebraic and topological foundations of representation systems, used in generative AI technology such as large language models. Credit: Lena Shoemaker/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/powered%20by%20match.jpg?h=384e2afb&itok=wJegcDZm)
In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.