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Media Contacts
![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.
![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.
![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.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![This photo is of four men standing in front of a wall of monitors that are showing a tree looking image.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P18264.jpg?h=c6980913&itok=5vhjgeck)
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
![Power lines to the right, colorful graphs to the left and in the middle is a cord putting out electrical currents.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Grid%20Signature%20Event%20Library%20Story%20Tip-v3.jpg?h=d1cb525d&itok=yGBdCnoE)
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
![Arial view of the Atchafalaya Basin](/sites/default/files/styles/list_page_thumbnail/public/2024-07/CoastalEco_atchafalayadelta_pho_2010113.jpg?h=34e43602&itok=_bt6Z5Va)
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
![Guy in blue button down shirt crossing his arm and leaning against a wall.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/2024-P09682%20Phani%20Marthi.jpg?h=036a71b7&itok=KVfDnzak)
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional
![Four thermometers are pictured across the top of the image with an image of a city in the bottom left, with a color block version of that city in the bottom right.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/buildingsTool08%20%281%29.jpg?h=d1cb525d&itok=xyBuoRLt)
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
![Man in blue shirt and grey pants holds laptop and poses next to a green plant in a lab.](/sites/default/files/styles/list_page_thumbnail/public/2024-06/2024-P09065.jpg?h=036a71b7&itok=szEF_SdO)
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.