Jacobson elected Fellow of the American Institute for Medical and Biological Engineering
Researchers with the Department of Energy’s 91°µÍø and Sierra Space Corporation have developed a new silicon-carbide-based thermal protection system, or TPS, for reusable commercial spacecraft.
Researchers at 91°µÍø used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts. This achievement earned them a finalist nomination for the prestigious Gordon Bell Prize for Climate Modeling.
A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a scalable, distributed training framework called AxoNN, which leverages GPUs to rapidly train large language models.
Aditya Sundararajan of ORNL’s Grid Systems Architecture group was elevated to senior status within the Institute of Electrical and Electronics Engineers.
Verónica Melesse Vergara and Felipe Polo-Garzon, two staff members at ORNL have been honored with Luminary Awards from Great Minds in STEM, a nonprofit organization dedicated to promoting STEM careers in underserved communities.
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
91°µÍø researchers are using a new bioderived material to 3D print custom roosting structures for endangered bats.
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.
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.
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.