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Graphic representation of ai model that identifies proteins

Researchers used the world’s 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 innovation in high-performance computing for science.

ORNL inventor Michael Smith, right, holds a laptop showing what Scott Greenwood, left, sees through an augmented reality headset.

Teletrix, a company specializing in radiation training tools, has transitioned from a research and development license to a commercial license for its augmented reality, or AR, platform that simulates ionizing radiation. This advanced platform was developed using technologies licensed from ORNL.

Graphic of Brian Iezzi as part of Cohort 2024

Fibarcode, founded by Brian Iezzi, develops technology that embeds a digital barcode into fibers to improve textile recycling, and as a participant in the Innovation Crossroads program at ORNL, aims to reduce the fashion industry's environmental impact by providing transparency about garment composition and origin throughout its lifecycle.

Pictured here are 9 scientists standing in a line in front of the frontier supercomputer logo/computer

Researchers at Oak Ridge National Laboratory 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.

Nine men are pictured here standing in front of a window, posing for a group photo with 5 standing and 4 sitting.

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.

HempWool, Hempitecture’s hemp fiber batt insulation is being cut here

Hempitecture, a graduate of the Innovation Crossroads program, has been awarded $8.4 million by the DOE's Office of Manufacturing and Energy Supply Chains. As part of the grant, Hempitecture will establish a facility in East Tennessee. 

Shantonio Birch, founder of ThermoVerse is pictured here

ThermoVerse and Expanding Frontiers have made strides in energy innovation by securing wins in Phase 2 of the Department of Energy’s American-Made Lab MATCH Prize, a competition designed to accelerate commercialization of national laboratory technologies.

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.

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.