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Media Contacts
![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.
![CFM’s RISE open fan engine architecture. Image: GE Aerospace](/sites/default/files/styles/list_page_thumbnail/public/2023-06/02-CFM_RISE_Program_Open_Fan%5B1%5D_0.jpg?h=790be497&itok=Ulzp5W_p)
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.
![Frontier supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2023-06/Frontier-logos_0.jpg?h=c6980913&itok=yuF5A0wj)
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
![Exascale Computing Project](/sites/default/files/styles/list_page_thumbnail/public/2023-05/ECP.png?h=f9180d14&itok=jDHXXWP2)
Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1, guiding the successful, multi-institutional high-performance computing effort through its final stages.
![A study led by ORNL researchers examines the causes behind ordering of cations, the positive ions that help make double perovskite oxides look promising as an energy source. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2023-05/CationBanner.png?h=ae114f5c&itok=czF5YUhD)
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
![Ashley Barker. Credit: Carlos Jones/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-05/2022-P14022.jpg?h=c6980913&itok=Su1w1TDa)
At the National Center for Computational Sciences, Ashley Barker enjoys one of the least complicated–sounding job titles at ORNL: section head of operations. But within that seemingly ordinary designation lurks a multitude of demanding roles as she oversees the complete user experience for NCCS computer systems.
![Researchers Melissa Cregger, left, and Xiaohan Yang examine plants in an ORNL greenhouse where biosensors are installed to accelerate plant transformations. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2023-05/Greenhouse%202023%20Xiaohan%20SEED_0.jpg?h=8f9cfe54&itok=oqtdFCJG)
Nature-based solutions are an effective tool to combat climate change triggered by rising carbon emissions, whether it’s by clearing the skies with bio-based aviation fuels or boosting natural carbon sinks.
![Steven Hamilton. Credit: Genevieve Martin/ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2023-05/2023-P00166_0.jpg?h=8f9cfe54&itok=F72Nuwo2)
As renewable sources of energy such as wind and sun power are being increasingly added to the country’s electrical grid, old-fashioned nuclear energy is also being primed for a resurgence.
![This image depicts a visualization of an outflow of galactic wind at a single point in time using Cholla. Credit: Evan Schneider/University of Pittsburgh](/sites/default/files/styles/list_page_thumbnail/public/2023-04/cholla_image001.png?h=e7fd8fff&itok=Jj11Uvtl)
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
![An AI-generated image representing atoms and artificial neural networks. Credit: Maxim Ziatdinov, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-04/atoms3.jpg?h=ab622562&itok=dNMzrFw8)
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.