![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- (-) Clean Energy (82)
- (-) Neutron Science (29)
- (-) Supercomputing (89)
- Advanced Manufacturing (3)
- Biology and Environment (59)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (7)
- Isotopes (1)
- Materials (88)
- Materials for Computing (10)
- Mathematics (1)
- National Security (39)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (7)
- (-) Climate Change (35)
- (-) Cybersecurity (15)
- (-) Exascale Computing (23)
- (-) Grid (42)
- (-) Machine Learning (21)
- (-) Nanotechnology (23)
- (-) Physics (16)
- (-) Quantum Science (30)
- 3-D Printing/Advanced Manufacturing (83)
- Artificial Intelligence (44)
- Big Data (25)
- Bioenergy (33)
- Biology (22)
- Biomedical (30)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (17)
- Clean Water (10)
- Composites (18)
- Computer Science (109)
- Coronavirus (28)
- Critical Materials (12)
- Decarbonization (36)
- Energy Storage (78)
- Environment (73)
- Fossil Energy (3)
- Frontier (29)
- Fusion (3)
- High-Performance Computing (40)
- Hydropower (2)
- Isotopes (1)
- Materials (56)
- Materials Science (57)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Microscopy (15)
- Molten Salt (1)
- National Security (11)
- Net Zero (4)
- Neutron Science (102)
- Nuclear Energy (13)
- Partnerships (12)
- Polymers (14)
- Quantum Computing (19)
- Renewable Energy (1)
- Security (10)
- Simulation (16)
- Software (1)
- Space Exploration (8)
- Statistics (1)
- Summit (43)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (70)
Media Contacts
![The DEMAND single crystal diffractometer at the High Flux Isotope Reactor, or HFIR, is the latest neutron instrument at the Department of Energy’s Oak Ridge National Laboratory to be equipped with machine learning-assisted software, called ReTIA. Credit: Jeremy Rumsey/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/DEMAND%20thumbnail%20image_0.jpg?h=c673cd1c&itok=5YAVwaP6)
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
![A rendering of the CFM RISE program’s open fan architecture. (bottom) A GE visualization of turbulent flow in the tip region of an open fan blade using the Frontier supercomputer at ORNL. Credit: CFM, GE Research (CFM is a 50–50 joint company between GE and Safran Aircraft Engines)](/sites/default/files/styles/list_page_thumbnail/public/2023-08/GEAerospaceEngine_0.jpg?h=435bf7b9&itok=PmNjtECq)
Outside the high-performance computing, or HPC, community, exascale may seem more like fodder for science fiction than a powerful tool for scientific research. Yet, when seen through the lens of real-world applications, exascale computing goes from ethereal concept to tangible reality with exceptional benefits.
![A new nanoscience study led by an ORNL quantum researcher takes a big-picture look at how scientists study materials at the smallest scales. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2023-08/QuantumTunnel_0.png?h=ae114f5c&itok=B4Rxkkvs)
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
![ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/ZEISS%20signing%20handshake_0.jpg?h=c6980913&itok=4J8nVrPc)
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
![Jonathan Harter, a technical professional in ORNL’s Engineering Science and Technology Directorate, uses a robot and other automated methods to disassemble electric vehicle batteries for recycling or reuse in the electric grid. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2021-P06328_0.jpg?h=036a71b7&itok=elZeutaQ)
After being stabilized in an ambulance as he struggled to breathe, Jonathan Harter hit a low point. It was 2020, he was very sick with COVID-19, and his job as a lab technician at ORNL was ending along with his research funding.
![Clouds of gray smoke in the lower left are funneled northward from wildfires in Western Canada, reaching the edge of the sea ice covering the Arctic Ocean. A second path of thick smoke is visible at the top center of the image, emanating from wildfires in the boreal areas of Russia’s Far East, in this image captured on July 13, 2023. Credit: NASA MODIS](/sites/default/files/styles/list_page_thumbnail/public/2023-07/NASA%20Arctic%20Circle%20wildfire%20smoke_image07182023_1km_1.jpg?h=dbdc3f84&itok=oHQVs6Bn)
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
![This map illustrates the natural climate variability that affects the cold-season climate of the Central Southwest Asian region. Credit: Moetasim Ashfaq/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-07/moet_pr_v2.png?h=0bda418b&itok=V62vm4cC)
As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.
![Reuben Budiardja, an Oak Ridge National Laboratory computational scientist, worked with the early users who helped prepare Frontier, the world’s first exascale supercomputer, for scientific operations. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/OLCF_Reuben_0.jpg?h=37d8d407&itok=xzEd2WaJ)
With the world’s first exascale supercomputer now fully open for scientific business, researchers can thank the early users who helped get the machine up to speed.
![small power module](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2023-P08143_0.jpg?h=c6980913&itok=Si2ShyhX)
Researchers at the Department of Energy’s Oak Ridge National Laboratory are supporting the grid by improving its smallest building blocks: power modules that act as digital switches.
![A new method to control quantum states in a material is shown. The electric field induces polarization switching of the ferroelectric substrate, resulting in different magnetic and topological states. Credit: Mina Yoon, Fernando Reboredo, Jacquelyn DeMink/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/pnglbernardstorytip.png?h=d1cb525d&itok=NOT32zpa)
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.