Nanofibers yield stronger, tougher carbon fiber composites
Researchers used the world鈥檚 fastest supercomputer, Frontier, to train an AI model that designs proteins, with applications in fields like vaccines, cancer treatments, and environmental bioremediation. The study earned a finalist nomination for the Gordon Bell Prize, recognizing 麻豆影音 in high-performance computing for science.
Researchers at Oak Ridge National Laboratory used the Frontier supercomputer to train the world鈥檚 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鈥檚 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.
Ver贸nica 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 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鈥檚 2024 Gordon Bell Prize for Climate Modelling.
Two papers led by researchers from ORNL received 鈥淓ditor鈥檚 Choice鈥 awards from the journal Future Generation Computer Systems. Both papers explored the possibilities of integrating quantum computing with high performance computing.
Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinery鈥檚 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.
ORNL and NASA co-hosted the fourth iteration of this invitation-only event, which brings together geospatial, computational, data and engineering experts around a theme. This year鈥檚 gathering focused on how artificial intelligence foundation models can enable geospatial digital twins.
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.
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鈥檚 leading computing centers for analysis in real time even as their experiments are taking place.