![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- Biology and Environment (21)
- Clean Energy (17)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (1)
- Materials (32)
- Materials for Computing (5)
- National Security (9)
- Neutron Science (8)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Supercomputing (22)
News Type
News Topics
- (-) Artificial Intelligence (13)
- (-) Bioenergy (21)
- (-) Composites (1)
- (-) Frontier (5)
- (-) Materials Science (27)
- (-) Nanotechnology (14)
- (-) Physics (14)
- 3-D Printing/Advanced Manufacturing (21)
- Advanced Reactors (7)
- Big Data (13)
- Biology (22)
- Biomedical (14)
- Biotechnology (3)
- Buildings (5)
- Chemical Sciences (11)
- Clean Water (4)
- Climate Change (24)
- Computer Science (35)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (8)
- Decarbonization (15)
- Energy Storage (20)
- Environment (43)
- Exascale Computing (6)
- Fusion (15)
- Grid (6)
- High-Performance Computing (12)
- Hydropower (3)
- Isotopes (6)
- ITER (1)
- Machine Learning (8)
- Materials (17)
- Mathematics (2)
- Mercury (2)
- Microscopy (11)
- Molten Salt (1)
- National Security (11)
- Net Zero (2)
- Neutron Science (18)
- Nuclear Energy (27)
- Partnerships (2)
- Polymers (3)
- Quantum Computing (5)
- Quantum Science (11)
- Security (5)
- Simulation (4)
- Space Exploration (2)
- Summit (12)
- Sustainable Energy (21)
- Transformational Challenge Reactor (4)
- Transportation (12)
Media Contacts
![ORNL, VA and Harvard researchers developed a sparse matrix full of anonymized information on what is thought to be the largest cohort of healthcare data used for this type of research in the U.S. The matrix can be probed with different methods, such as KESER, to gain new insights into human health. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-04/2022-G00330_KESER%20Illustration_0.jpg?h=1cb48fc4&itok=c6ZuDdDg)
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
![Oak Ridge National Laboratory researchers used an invertible neural network, a type of artificial intelligence that mimics the human brain, to select the most suitable materials for desired properties, such as flexibility or heat resistance, with high chemical accuracy. The study could lead to more customizable materials design for industry.](/sites/default/files/styles/list_page_thumbnail/public/2022-04/CCSD_NeuralNetworkBanner.png?h=b16f811b&itok=fxqDEvs_)
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
![Earth Day](/sites/default/files/styles/list_page_thumbnail/public/2022-04/Earth%20image.png?h=8f74817f&itok=5rQ_su9Z)
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
![ORNL scientists created a new microbial trait mapping process that improves on classical protoplast fusion techniques to identify the genes that trigger desirable genetic traits like improved biomass processing. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy. Reprinted with the permission of Oxford University Press, publisher of Nucleic Acids Research](/sites/default/files/styles/list_page_thumbnail/public/2022-04/Nucleic%20Cover%20Illustration.jpg?h=4a9d1e17&itok=iw81emAt)
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
![Scientists with the Center for Bioenergy Innovation at ORNL highlighted a hybrid approach that uses microbes and catalysis to convert cellulosic biomass into fuels suitable for aviation and other difficult-to-electrify sectors. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/AirplaneSwitchgrass_0.png?h=198a5201&itok=Vuu-Rrk7)
The rapid pace of global climate change has added urgency to developing technologies that reduce the carbon footprint of transportation technologies, especially in sectors that are difficult to electrify.
![Dongarra in 2019 with Oak Ridge National Laboratory's Summit supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2022-03/I%29%20Dongarra_IBM_Summit_Superomputer.jpeg?h=4bf1c8f5&itok=9sM8m0Iz)
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
![Melissa Cregger](/sites/default/files/styles/list_page_thumbnail/public/2022-03/Cregger%202021-P03021.jpg?h=c6980913&itok=uistMm4e)
The Center for Bioenergy Innovation at ORNL offers a unique opportunity for early career scientists to conduct groundbreaking research while learning what it takes to manage a large collaborative science center.
![This image illustrates lattice distortion, strain, and ion distribution in metal halide perovskites, which can be induced by external stimuli such as light and heat. Image credit: Stephen Jesse/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2022-03/FerroicHalidePerovskite.jpg?h=b803af89&itok=eBzxpb4b)
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
![Bryan Piatkowski is a Liane Russell Distinguished Fellow at ORNL developing a framework to better understand the genetic underpinnings of desirable plant traits so they may be used to create climate-resilient crops for food, bioenergy and carbon sequestration. Credit: Carlos Jones/ORNL, U.S. Dept of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2022-03/Piatkowski%20outdoors%202021-P06111_0.jpg?h=c6980913&itok=bhUc5-NN)
Bryan Piatkowski, a Liane Russell Distinguished Fellow in the Biosciences Division at ORNL, is exploring the genetic pathways for traits such as stress tolerance in several plant species important for carbon sequestration
![Chunliu Zhuo is a postdoctoral researcher at the University of North Texas BioDiscovery Institute. Credit: University of North Texas](/sites/default/files/styles/list_page_thumbnail/public/2022-03/20_0302_Dixon-and-Zhuo15.png?h=a49d782d&itok=K0GDwbRk)
A team of researchers working within the Center for Bioenergy Innovation at ORNL has discovered a pathway to encourage a type of lignin formation in plants that could make the processing of crops grown for products such as sustainable jet fuels easier and less costly.