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A photo of the inside of a cabinet for the Frontier supercomputer at ORNL

A team of researchers used the Frontier supercomputer and a new methodology for conducting a genome-wide association study to earn a finalist nomination for the Association for Computing Machinery’s 2024 Gordon Bell Prize for outstanding

Frontier supercomputer is pictured here with the logo on the cabinets

A multi-institutional team of researchers led by the King Abdullah University of Science and Technology, or KAUST, Saudi Arabia, has been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize for Climate Modelling. 

Image of Giuseppe Barca looking at two computer monitors, representing the team using Frontier to perform the first quantum chemistry calculations to exceed an exaflop.

Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize in supercomputing for conducting a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind.

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.

A graphic representation of AI

The Department of Energy announced a $67 million investment in several AI projects from institutions in both government and academia as part of its AI for Science initiative. Six ORNL-led (or co-led) projects received funding.

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. 

155 attendees from all over the world gathered for SMC24 for a wide range of presentations from industry leading experts.

The Smoky Mountain Computational Sciences and Engineering Conference, or SMC24, entered its third decade with the 21st annual gathering in East Tennessee.

Illustration of an electron beam ejecting a carbon atom from graphene

A new technology to continuously place individual atoms exactly where they are needed could lead to new materials for devices that address critical needs for the field of quantum computing and communication that cannot be produced by conventional means.