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Media Contacts
![Team of four people seated in front of four people standing in the network operations center at EPB at Chattanooga.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/_DSC0177-tw.jpg?h=8c1344d8&itok=NFIgzDmY)
For the first time, ORNL will run equipment developed at its research facilities on a commercially available quantum network at EPB Quantum Network powered by Qubitekk to help validate the technology's commercial viability.
![ORNL’s convergent manufacturing platform, on display at IMTS 2024 in Chicago, Illinois, integrates multiple systems into one.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/IMTS%20booth%20photo.jpeg?h=8d178b2c&itok=4QeYsrBh)
A new convergent manufacturing platform, developed in only five months at the Department of Energy’s Oak Ridge National Laboratory, is debuting at the International Manufacturing Technology Show, or IMTS, in Chicago, Sept. 9–12, 2024.
![ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/bioMaterial04.jpg?h=d1cb525d&itok=UoJo1KoB)
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
![Jay Tiley inspects a hydroelectric runner from TVA’s Cherokee Dam](/sites/default/files/styles/list_page_thumbnail/public/2024-09/PXL_20240807_123652830.jpg?h=dab0e9c2&itok=3n5s2HOD)
ORNL is working with industry partners to develop a technique that combines 3D printing and conventional machining to produce large metal parts for clean energy applications. The project, known as Rapid Research on Universal Near Net Shape Fabrication Strategies for Expedited Runner Systems, or Rapid RUNNERS, recently received $15 million in funding from DOE.
![ORNL researchers Tom Beck, left, Sarp Oral and Rafael Ferreira da Silva have proposed a strategy for integrating classical supercomputers such as Frontier, the world’s first exascale computer, with the emerging field of quantum computing.](/sites/default/files/styles/list_page_thumbnail/public/2024-08/BeckOralSilvaMain_0.jpg?h=036a71b7&itok=53p41Ylx)
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
![Weyl semimetal](/sites/default/files/styles/list_page_thumbnail/public/2024-08/Picture4.jpg?h=b38bf506&itok=dUHD6CQU)
At ORNL, a group of scientists used neutron scattering techniques to investigate a relatively new functional material called a Weyl semimetal. These Weyl fermions move very quickly in a material and can carry electrical charge at room temperature. Scientists think that Weyl semimetals, if used in future electronics, could allow electricity to flow more efficiently and enable more energy-efficient computers and other electronic devices.
![Green and blue background of a graphic image that says Honors and Awards](/sites/default/files/styles/list_page_thumbnail/public/2024-07/HonorsandAwards4.jpg?h=d1cb525d&itok=5_BrUH4R)
Two additive manufacturing researchers from ORNL received prestigious awards from national organizations. Amy Elliott and Nadim Hmeidat, who both work in the Manufacturing Science Division, were recognized recently for their early career accomplishments.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
![ORNL researchers Phani Marthi and Suman Debnath work on developing and scaling up new EMT simulation software to analyze how power electronics in the electric grid will respond to brief interruptions in power flow. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Suman%20%26%20Phani%20working%20in%20GRID-C.jpg?h=c6980913&itok=NvMil7os)
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.