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Media Contacts
![The Frontier supercomputer simulated magnetic responses inside calcium-48, depicted by red and blue spheres. Insights into the nucleus’s fundamental forces could shed light on supernova dynamics.](/sites/default/files/styles/list_page_thumbnail/public/2024-09/Nova%20Nucleus%20v2.jpg?h=2d44e782&itok=YlbsTzRG)
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
![Joshua New](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2017-P04896%20%281%29.jpg?h=b6236d98&itok=QV3DNb3K)
ORNL’s Joshua New was named the 2024 Researcher of the Year by R&D World magazine as part of its R&D 100 Professional Award winners.
![Debjani Singh](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=zFo2oivw)
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
![Image with a grey and black backdrop - in front is a diamond with two circles coming out from it, showing the insides.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/thumbnail_OLCF_BC8.jpg?h=b5b1176d&itok=LE-EYtQH)
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
![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.
![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=GjSV8Zyr)
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![The photo is of a 3D-printed part -- a big grey block with a grey fan like structure coming out from the top. To the right shows a digital copy in an AI model.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/powderBed03.jpg?h=d1cb525d&itok=iHER8rAc)
The Department of Energy’s Oak Ridge National Laboratory has publicly released a new set of additive manufacturing data that industry and researchers can use to evaluate and improve the quality of 3D-printed components. The breadth of the datasets can significantly boost efforts to verify the quality of additively manufactured parts using only information gathered during printing, without requiring expensive and time-consuming post-production analysis.