![Wavy photo representing high performance computing](/sites/default/files/styles/featured_square_large/public/2024-09/ORNL%20BG03%5B84%5D.jpg?h=50f775af&itok=2RkMJksc)
Filter News
Area of Research
- (-) Materials (33)
- (-) Supercomputing (26)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (41)
- Clean Energy (64)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (1)
- Materials for Computing (6)
- National Security (12)
- Neutron Science (35)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Big Data (13)
- (-) Bioenergy (5)
- (-) Energy Storage (7)
- (-) Grid (3)
- (-) Materials Science (20)
- (-) Mathematics (1)
- (-) Neutron Science (14)
- (-) Polymers (4)
- (-) Sustainable Energy (5)
- (-) Transformational Challenge Reactor (2)
- Advanced Reactors (1)
- Artificial Intelligence (21)
- Biology (6)
- Biomedical (8)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Clean Water (2)
- Climate Change (12)
- Composites (2)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Environment (18)
- Exascale Computing (13)
- Frontier (14)
- Fusion (2)
- High-Performance Computing (21)
- Isotopes (7)
- Machine Learning (7)
- Materials (21)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Nuclear Energy (11)
- Partnerships (3)
- Physics (14)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Transportation (7)
Media Contacts
![Jeff Foster, Distinguished Staff Fellow at Oak Ridge National Laboratory, is looking for ways to control polymer sequencing for a variety of uses. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-03/2022-P10962_0.jpg?h=8f9cfe54&itok=-rpewQg0)
Chemist Jeff Foster is looking for ways to control sequencing in polymers that could result in designer molecules to benefit a variety of industries, including medicine and energy.
![From left are UWindsor students Isabelle Dib, Dominik Dziura, Stuart Castillo and Maksymilian Dziura at ORNL’s Neutron Spin Echo spectrometer. Their work advances studies on a natural cancer treatment. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-03/2022-P14758_0.jpg?h=c6980913&itok=YJLFDsPp)
A scientific instrument at ORNL could help create a noninvasive cancer treatment derived from a common tropical plant.
![Oak Ridge National Laboratory materials scientist Zhili Feng, left, looks on as senior technician Doug Kyle operates a welding robot inside a robotic welding cell. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/2022-P02510.png?h=73ad5f11&itok=fvydYheR)
The U.S. Departments of Energy and Defense teamed up to create a series of weld filler materials that could dramatically improve high-strength steel repair in vehicles, bridges and pipelines.
![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.
![The ORNL researchers’ findings may enable better detection of uranium tetrafluoride hydrate, a little-studied byproduct of the nuclear fuel cycle, and better understanding of how environmental conditions influence the chemical behavior of fuel cycle materials. Credit: Kevin Pastoor/Colorado School of Mines](/sites/default/files/styles/list_page_thumbnail/public/2022-05/UF4%20hydrate.png?h=d318f057&itok=spT-Dg48)
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
![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.
![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.
![Using quantum Monte Carlo methods, the researchers simulated bulk VO2. Yellow and turquoise represent changes in electron density between the excited and ground states of a compound composed of oxygen, in red, and vanadium, in blue, which allowed them to evaluate how an oxygen vacancy, in white, can alter the compound’s properties. Credit: Panchapakesan Ganesh/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/image001_0.png?h=11d99c73&itok=sdREw4na)
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant