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Media Contacts
![Steven Hamilton, an R&D scientist in the HPC Methods for Nuclear Applications group at ORNL, leads the ExaSMR project. ExaSMR was developed to run on the Oak Ridge Leadership Computing Facility’s exascale-class supercomputer, Frontier. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P00165_1.jpg?h=c6980913&itok=YE6_qVLk)
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
![Chathuddasie Amarasinghe explains her research poster, “Using Microfluidic Mother Machine Devices to Study the Correlated Dynamics of Ribosomes and Chromosomes in Escherichia Coli.” Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P11614_0.jpg?h=06ac0d8c&itok=kjePlpfo)
Speakers, scientific workshops, speed networking, a student poster showcase and more energized the Annual User Meeting of the Department of Energy’s Center for Nanophase Materials Sciences, or CNMS, Aug. 7-10, near Market Square in downtown Knoxville, Tennessee.
![Tom Karnowski (left) and Jordan Johnson (right). Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2018-P06415%20and%202022-P10212_0.jpg?h=0cfd17d8&itok=E-Rqrcrx)
Tom Karnowski and Jordan Johnson of ORNL have been named chair and vice chair, respectively, of the East Tennessee section of the Institute of Electrical and Electronics Engineers, or IEEE.
![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.
![Mike Huettel](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P00819.jpg?h=4a7d1ed4&itok=SHi9F_hH)
Mike Huettel is a cyber technical professional. He also recently completed the 6-month Cyber Warfare Technician course for the United States Army, where he learned technical and tactical proficiency leadership in operations throughout the cyber domain.
![Autonomous additive manufacturing, or AI- guided 3D printing, can accurately estimate the strength and quality of printed components. This system collects information about conditions during production, including temperature, that influence the properties and quality of printed objects. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Picture3.jpg?h=b831e800&itok=kY1lx510)
Autonomous labs are changing the nature of scientific investigation. Instead of humans manually orchestrating every part of an experiment, programmed equipment can carry out necessary functions. This workflow accelerates the pace of discovery by reducing the number of monotonous tasks that researchers must perform.
![Takaaki Koyanagi](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2016-P03302.jpg?h=e2f0038f&itok=0ceNGrbX)
Takaaki Koyanagi, an R&D staff member in the Materials Science and Technology Division of ORNL, has received the TMS Frontiers of Materials award.
![A beam of excited sodium-32 nuclei implants in the FRIB Decay Station initiator is used to detect decay signatures of isotopes. Credit: Gary Hollenhead, Toby King and Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/render_03_0.jpg?h=8f74817f&itok=AZQPthBf)
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.
![Cody Lloyd stands in front of images of historical nuclear field testing. The green and red dots are the machine learning algorithm recognizing features in the image. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P05797_0.jpg?h=4a7d1ed4&itok=S8h_wvJX)
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career