![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- Biology and Environment (15)
- Clean Energy (29)
- Computational Biology (1)
- Computer Science (1)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (2)
- Isotopes (3)
- Materials (27)
- Materials for Computing (4)
- National Security (10)
- Neutron Science (6)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Supercomputing (35)
News Type
News Topics
- (-) Artificial Intelligence (14)
- (-) Biomedical (24)
- (-) Computer Science (49)
- (-) Energy Storage (25)
- (-) ITER (1)
- (-) Microscopy (18)
- (-) Polymers (9)
- 3-D Printing/Advanced Manufacturing (22)
- Advanced Reactors (11)
- Big Data (18)
- Bioenergy (24)
- Biology (27)
- Biotechnology (3)
- Buildings (12)
- Chemical Sciences (8)
- Clean Water (8)
- Climate Change (30)
- Composites (5)
- Coronavirus (21)
- Critical Materials (4)
- Cybersecurity (8)
- Decarbonization (15)
- Environment (50)
- Exascale Computing (7)
- Frontier (5)
- Fusion (19)
- Grid (15)
- High-Performance Computing (12)
- Hydropower (8)
- Irradiation (1)
- Isotopes (10)
- Machine Learning (11)
- Materials (19)
- Materials Science (33)
- Mathematics (2)
- Mercury (3)
- Molten Salt (5)
- Nanotechnology (14)
- National Security (10)
- Net Zero (2)
- Neutron Science (21)
- Nuclear Energy (31)
- Partnerships (2)
- Physics (14)
- Quantum Computing (5)
- Quantum Science (11)
- Security (7)
- Simulation (5)
- Space Exploration (6)
- Summit (15)
- Sustainable Energy (31)
- Transformational Challenge Reactor (3)
- Transportation (21)
Media Contacts
![Scattering-type scanning near-field optical microscopy, a nondestructive technique in which the tip of the probe of a microscope scatters pulses of light to generate a picture of a sample, allowed the team to obtain insights into the composition of plant cell walls. Credit: Ali Passian/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/Picture1_0.jpg?h=da2f9885&itok=_QN9qoqF)
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
![Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2022-05/CCSD%20Neuro-climate.png?h=845c699a&itok=AJbSKZF8)
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
![ORNL scientists created a geodemographic cluster for the Atlanta metro area that identifies risk factors related to climate impacts. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/climateMapCorrection_0.jpg?h=5c1b3784&itok=ijIvJETa)
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
![Jennifer Morrell-Falvey leads the Molecular and Cellular Imaging group at ORNL, advancing new insights in several scientific areas, including the interactions between plants and microbes that influence ecosystem health and carbon cycling. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/2022-P04224.jpg?h=c6980913&itok=6MlHRB4F)
Jennifer Morrell-Falvey’s interest in visualizing the science behind natural processes was what drew her to ORNL in what she expected to be a short stint some 18 years ago.
![A team of fusion scientists and engineers stand in front of ORNL’s Helium Flow Loop device. From back left to front right: Chris Crawford, Fayaz Rasheed, Joy Fan, Michael Morrow, Charles Kessel, Adam Carroll, and Cody Wiggins. Not pictured: Dennis Youchison and Monica Gehrig. Credit: Carlos Jones/ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2022-05/2022-P01898.jpg?h=c6980913&itok=SoSOip2u)
To achieve practical energy from fusion, extreme heat from the fusion system “blanket” component must be extracted safely and efficiently. ORNL fusion experts are exploring how tiny 3D-printed obstacles placed inside the narrow pipes of a custom-made cooling system could be a solution for removing heat from the blanket.
![LandScan Global depicts population distribution estimates across the planet. The darker orange and red colors above indicate higher population density. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/Picture1_0.jpg?h=9d172ced&itok=uYwYp-pW)
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
![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.
![Virginia-based battery technology company, BTRY, has licensed several electrolyte and thin-film coating technologies, developed at Oak Ridge National Laboratory, to make batteries with increased energy density, at lower cost, and with an improved safety profile in crashes. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/2021-P11907.jpg?h=c6980913&itok=dPCyvLmj)
Several electrolyte and thin-film coating technologies, developed at Oak Ridge National Laboratory, have been licensed by BTRY, a battery technology company based in Virginia, to make batteries with increased energy density, at lower cost, and with an improved safety profile in crashes.
![Researchers at Oak Ridge National Laboratory demonstrated center-of-mass scanning transmission electron microscopy to observe lithium along with heavier elements in battery materials at atomic resolution. Credit: Chad Malone/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/X2200362_Ashley%20Huff_PressReleaseIllustration_CM-04_0.png?h=8ad5a422&itok=zNjz98cr)
Oak Ridge National Laboratory researchers demonstrated an electron microscopy technique for imaging lithium in energy storage materials, such as lithium ion batteries, at the atomic scale.