![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/featured_square_large/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=xn0NRyVn)
Filter News
Area of Research
- (-) Clean Energy (64)
- (-) Neutron Science (16)
- Biological Systems (1)
- Biology and Environment (33)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (4)
- Materials (31)
- Materials for Computing (7)
- National Security (18)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
- Supercomputing (54)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (8)
- (-) Biomedical (10)
- (-) Cybersecurity (5)
- (-) Mercury (2)
- (-) Microscopy (6)
- (-) Security (4)
- (-) Statistics (1)
- (-) Summit (4)
- (-) Transportation (48)
- 3-D Printing/Advanced Manufacturing (50)
- Advanced Reactors (2)
- Big Data (3)
- Bioenergy (15)
- Biology (7)
- Biotechnology (2)
- Buildings (27)
- Chemical Sciences (6)
- Clean Water (9)
- Climate Change (14)
- Composites (11)
- Computer Science (22)
- Coronavirus (11)
- Critical Materials (5)
- Decarbonization (23)
- Energy Storage (48)
- Environment (39)
- Fossil Energy (2)
- Grid (30)
- High-Performance Computing (4)
- Hydropower (2)
- Machine Learning (5)
- Materials (24)
- Materials Science (24)
- Mathematics (3)
- Microelectronics (1)
- Nanotechnology (6)
- National Security (2)
- Net Zero (2)
- Neutron Science (58)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (2)
- Polymers (7)
- Quantum Computing (1)
- Quantum Science (3)
- Simulation (2)
- Space Exploration (5)
- Sustainable Energy (43)
Media Contacts
![An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Manufacturing%20-%20Defect%20detection%202_0.jpg?h=259e5a75&itok=CwpLQv6U)
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
![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.
![ORNL researchers in advanced manufacturing, materials science and engineering collaborated to produce face shields and reusable mask molds so that industry can quickly mass produce. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-05/MDF_group_shot.jpg?h=5e9da067&itok=hx6y5O6o)
The University of Texas at San Antonio (UTSA) has formally launched the Cybersecurity Manufacturing Innovation Institute (CyManII), a $111 million public-private partnership.
![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.
![Enzyme activity during organophosphate poisoning](/sites/default/files/styles/list_page_thumbnail/public/2020-08/anecdote1_0.png?h=d1cb525d&itok=wpYYilBI)
Pick your poison. It can be deadly for good reasons such as protecting crops from harmful insects or fighting parasite infection as medicine — or for evil as a weapon for bioterrorism. Or, in extremely diluted amounts, it can be used to enhance beauty.
![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.
![Colorized micrograph of lily pollen](/sites/default/files/styles/list_page_thumbnail/public/2020-07/Lily_CH%20and%20CO_1.png?h=436b82d4&itok=lntoWKVr)
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
![Computational biophysicist Ada Sedova is using experiments and high-performance computing to explore the properties of biological systems and predict their form and function, including research to accelerate drug discovery for COVID-19. Photo credit: Jason Richards, Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2017-P06162Cropped.jpg?h=f1d4573a&itok=TrvR_opt)
Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology