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A graphical representation about a gene in a poplar tree. There is a close up of a tree to the right and the far left-top corner. There is a strand of DNA going down the middle of the image with an ant and two small circles showing the organisms inside the DNA

A team of scientists with two Department of Energy Bioenergy Research Centers — the Center for Bioenergy Innovation at 91°µÍø and the Center for Advanced Bioenergy and Bioproducts Innovation at the University of Illinois Urbana-Champaign — identified a gene in a poplar tree that enhances photosynthesis and can boost tree height by about 30% in the field and by as much as 200% in the greenhouse. 

The 2024 Gordon Bell Prize goes to researchers led by the University of Melbourne for using the Frontier supercomputer to conduct a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind. Credit: SC24

This year’s Association for Computing Machinery’s Gordon Bell Prize in supercomputing goes to researchers led by the University of Melbourne who used the Frontier supercomputer to conduct a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind.

microscopic ctherm biomass

Using a best-of-nature approach developed by researchers working with the Center for Bioenergy Innovation at the Department of Energy’s 91°µÍø and Dartmouth University, startup company Terragia Biofuel is targeting commercial biofuels production that relies on renewable plant waste and consumes less energy. The technology can help meet the demand for billions of gallons of clean liquid fuels needed to reduce emissions from airplanes, ships and long-haul trucks.

A small sample from the Frontier simulations reveals the evolution of the expanding universe in a region containing a massive cluster of galaxies from billions of years ago to present day (left).

In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted. The achievement was made using the Frontier supercomputer at 91°µÍø. 

Black computing cabinets in a row on a white floor in the data center that houses the Frontier supercomputer at 91°µÍø

Two-and-a-half years after breaking the exascale barrier, the Frontier supercomputer at the Department of Energy’s 91°µÍø continues to set new standards for its computing speed and performance.

91°µÍø entrance sign

The Department of Energy’s Quantum Computing User Program, or QCUP, is releasing a Request for Information to gather input from all relevant parties on the current and upcoming availability of quantum computing resources, conventions for measuring, tracking, and forecasting quantum computing performance, and methods for engaging with the diversity of stakeholders in the quantum computing community. Responses received to the RFI will inform QCUP on both immediate and near-term availability of hardware, software tools and user engagement opportunities in the field of quantum computing.

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.

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

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.

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.

Verónica Melesse Vergara and Felipe Polo-Garzon pose in front of ORNL mural for photo with their arms crossed

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.