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ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.

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Pictured is a 3D printer that creates objects using electron beam melting, looks like a glowing orb.

Researchers have developed and 3D printed the lightest crack-free alloy capable of operating without melting at temperatures above 2,400 degrees Fahrenheit, which could enable additively manufactured turbine blades to better handle extreme temperatures, reducing the carbon footprint of gas turbine engines such as those used in airplanes.

Larry York is sitting in front of a computer screen showing an image of plant phenotyping

The Advanced Plant Phenotyping Laboratory at ORNL utilizes robotics, multi-modal imaging, and AI to enhance understanding of plant genetics and interactions with microbes. It aims to connect genes to traits for advancements in bioenergy, agriculture, and climate resilience. Senior scientist Larry York highlights the lab's capabilities and the insights from a new digital underground imaging system to improve biomass feedstocks for bioenergy and carbon storage.

This is a simulated image of the project to build a new network that artificial intelligence and machine learning to steer experiments and analyze data faster and more accurately. will enable

To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nation’s leading computing centers for analysis in real time even as their experiments are taking place. 

ORNL’s Prasanna Balaprakash joined leading computing experts to provide insight into how supercomputing, AI and meteorology can work together to advance weather and climate research as part of a panel for the United States Senate.

Prasanna Balprakash, director of AI programs for ORNL, discussed advancing climate and weather research through high performance computing and artificial intelligence as part of a September 18 panel for the United States Senate. 

A new Global Biomass Resource Assessment developed by ORNL scientists gathered data from 55 countries, shaded in green, resulting in a first-of-its kind compilation of current and future sustainable biomass supply estimates around the world.

A new Global Biomass Resource Assessment developed by ORNL scientists gathered data from 55 countries resulting in a first-of-its kind compilation of current and future sustainable biomass supply estimates around the world. 

NCCS Director Arjun Shankar gives an update on the facility’s next high-performance computing system during the OLCF User Meeting on Sept. 10, 2024.   Credit: Kurt Weiss/ORNL, U.S. Dept. of Energy

The Oak Ridge Leadership Computing Facility welcomed users to an interactive meeting at the Department of Energy’s Oak Ridge National Laboratory from Sept. 10–11 for an opportunity to share achievements from the OLCF’s user programs and highlight requirements for the future.

Hard drive being pulled and put in recycle container.

The Summit supercomputer, once the world’s most powerful, is set to be decommissioned by the end of 2024 to make way for the next-generation supercomputer. Over the summer, crews began dismantling Summit’s Alpine storage system, shredding over 40,000 hard drives with the help of ShredPro Secure, a local East Tennessee business. This partnership not only reduced costs and sped up the process but also established a more efficient and secure method for decommissioning large-scale computing systems in the future.

Researchers from ORNL and Western Michigan University prepare for a Chattanooga-based demonstration of a self-driving car using chip-enabled raised pavement markers for navigation.

ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.

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.

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.

Wavy photo representing high performance computing

Office of Science to announce a new research and development opportunity led by ORNL to advance technologies and drive new capabilities for future supercomputers. This industry research program worth $23 million, called New Frontiers, will initiate partnerships with multiple companies to accelerate the R&D of critical technologies with renewed emphasis on energy efficiency for the next generation of post-exascale computing in the 2029 and beyond time frame.