![Man in blue button down shirt poses outside for a picture with his arms crossed.](/sites/default/files/styles/featured_square_large/public/2024-07/Troy_Carter_headshot.jpeg?h=8a7fc05e&itok=VFmZIzHo)
Filter News
Area of Research
- (-) Clean Energy (75)
- (-) Supercomputing (34)
- Advanced Manufacturing (5)
- Biology and Environment (19)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (18)
- Fusion Energy (11)
- Isotopes (1)
- Materials (58)
- Materials for Computing (11)
- National Security (15)
- Neutron Science (16)
- Nuclear Science and Technology (13)
- Quantum information Science (1)
- Renewable Energy (1)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Frontier (14)
- (-) Fusion (1)
- (-) Grid (28)
- (-) Hydropower (2)
- (-) Machine Learning (10)
- (-) Materials Science (22)
- (-) Physics (3)
- (-) Transportation (46)
- 3-D Printing/Advanced Manufacturing (46)
- Advanced Reactors (3)
- Artificial Intelligence (24)
- Big Data (18)
- Bioenergy (14)
- Biology (12)
- Biomedical (14)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (6)
- Clean Water (7)
- Climate Change (26)
- Composites (11)
- Computer Science (71)
- Coronavirus (16)
- Critical Materials (7)
- Cybersecurity (7)
- Decarbonization (21)
- Energy Storage (42)
- Environment (45)
- Exascale Computing (13)
- Fossil Energy (1)
- High-Performance Computing (23)
- Materials (22)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Nanotechnology (8)
- National Security (4)
- Net Zero (3)
- Neutron Science (8)
- Nuclear Energy (6)
- Partnerships (4)
- Polymers (8)
- Quantum Computing (14)
- Quantum Science (14)
- Security (3)
- Simulation (12)
- Software (1)
- Space Exploration (5)
- Statistics (1)
- Summit (28)
- Sustainable Energy (43)
Media Contacts
![self-healing elastomers](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Buildings%20-%20Unbreakable%20bond-%20small.png?h=5ded6b27&itok=Du9vTz_5)
![The 2021 Fuel Economy Guide, compiled by ORNL researchers, provides tips for keeping fuel costs down and helps consumers find the most fuel-efficient vehicle. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Transportation%20-%20Easy%20on%20the%20pedals_0.jpg?h=f0649f60&itok=11HQCqNO)
Fuel economy can take a tumble when temperatures plummet, according to the Department of Energy’s 2021 Fuel Economy Guide. Compiled by researchers at Oak Ridge National Laboratory, the guide includes several tips to improve a vehicle’s fuel performance.
![Drawing of air taxi](/sites/default/files/styles/list_page_thumbnail/public/2020-11/airTaxi_730x457_0.jpg?h=f017b3e4&itok=FiV6MYk7)
If air taxis become a viable mode of transportation, Oak Ridge National Laboratory researchers have estimated they could reduce fuel consumption significantly while alleviating traffic congestion.
![A Co-Optima research team led by Oak Ridge National Laboratory’s Jim Szybist in collaboration with Argonne, Sandia and the National Renewable Energy Laboratory, created a merit function tool that evaluates six fuel properties and their impact on engine performance, giving the scientific community a guide to quickly evaluate biofuels. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-12/2017-P08539-2_0.jpg?h=b6236d98&itok=h0OT2BqC)
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
![Suman Debnath is using simulation algorithms to accelerate understanding of the modern power grid and enhance its reliability and resilience. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Suman%20Debnath%20Square.jpg?h=439d043c&itok=1umME5uH)
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.
A collaboration between the ORNL and a Florida-based medical device manufacturer has led to the addition of 500 jobs in the Miami area to support the mass production of N95 respirator masks.
![Jianlin Li employs ORNL’s world-class battery research facility to validate the innovative safety technology. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2020-P14810-blurred_0.jpg?h=245bf488&itok=DMmYlD02)
Soteria Battery Innovation Group has exclusively licensed and optioned a technology developed by Oak Ridge National Laboratory designed to eliminate thermal runaway in lithium ion batteries due to mechanical damage.
![ORNL scientists used new techniques to create long lengths of a composite copper-carbon nanotube material with improved properties for use in electric vehicle traction motors. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-09/nano_cu_08noLabels_0.jpg?h=4d70cb2a&itok=iFR0YlTM)
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
![Simulation of short polymer chains](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Screen%20Shot%202020-07-27%20at%202.46.08%20PM_0.png?h=fc4031ca&itok=DVcIeNaW)
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.