![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- (-) Clean Energy (39)
- (-) Materials (25)
- Advanced Manufacturing (4)
- Biology and Environment (18)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Fusion Energy (6)
- Materials for Computing (6)
- Mathematics (1)
- National Security (6)
- Neutron Science (3)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (12)
- Transportation Systems (1)
News Type
News Topics
- (-) Big Data (2)
- (-) Clean Water (5)
- (-) Fusion (3)
- (-) Grid (21)
- (-) Machine Learning (2)
- (-) Materials Science (30)
- (-) Simulation (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (36)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Bioenergy (5)
- Biology (3)
- Biomedical (3)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (6)
- Climate Change (8)
- Composites (9)
- Computer Science (11)
- Coronavirus (7)
- Critical Materials (9)
- Cybersecurity (2)
- Decarbonization (12)
- Energy Storage (34)
- Environment (23)
- High-Performance Computing (1)
- Hydropower (2)
- Isotopes (2)
- Materials (27)
- Mathematics (2)
- Mercury (2)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (12)
- National Security (1)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (6)
- Physics (8)
- Polymers (9)
- Quantum Computing (2)
- Quantum Science (1)
- Security (2)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (33)
- Transportation (37)
Media Contacts
![In situ monitoring to evaluate nickel-based superalloys as they are printing gave Mike Kirka, an ORNL materials scientist, the ability to see potential weaknesses that could lead to part failure. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/2020-p17959_scaled.jpg?h=349a97f0&itok=WNCnFI0X)
Growing up in the heart of the American automobile industry near Detroit, Oak Ridge National Laboratory materials scientist Mike Kirka was no stranger to manufacturing.
![self-healing elastomers](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Buildings%20-%20Unbreakable%20bond-%20small.png?h=5ded6b27&itok=Du9vTz_5)
![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.
![Drawing of skyrmions spins](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Skyrmion%20-%20v12%20%28NEW%20image%20from%20HNL%29_0.jpg?h=df0a286c&itok=qHEwvGTR)
Scientists discovered a strategy for layering dissimilar crystals with atomic precision to control the size of resulting magnetic quasi-particles called skyrmions.
![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.
![ORNL’s Lab-on-a-crystal uses machine learning to correlate materials’ mechanical, optical and electrical responses to dynamic environments. Credit: Ilia Ivanov/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-08/lab_on_crystal2_0.png?h=bc215d7c&itok=5Zsjkf9e)
An all-in-one experimental platform developed at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences accelerates research on promising materials for future technologies.
![Map with focus on sub-saharan Africa](/sites/default/files/styles/list_page_thumbnail/public/2020-07/firms3-Africa-NASA_0.jpg?h=27f1d52b&itok=G8uUS5cH)
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
![Drawing of thin-film cathode technology](/sites/default/files/styles/list_page_thumbnail/public/2020-07/Solid%20state%20stability%20check-batteries.jpg?h=850c4449&itok=PNDLwIw7)
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.
![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