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ORNL researcher Priya Ranjan standing outside in front of brick pillars

From decoding plant genomes to modeling microbial behavior, computational biologist Priya Ranjan builds computational tools that turn extensive biological datasets into real-world insights. These tools transform the way scientists ask and answer complex biological questions that advance biotechnology breakthroughs and support cultivation of better crops for energy and food security. 

Illustration of the GRETA detector, a spherical array of metal cylinders. The detector is divided into two halves to show the inside of the machine. Both halves are attached to metal harnesses, displayed against a black and green cyber-themed background.

Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.  

Wall of black computer chords with blue wiring

Researchers from ORNL have developed a new application to increase efficiency in memory systems for high performance computing. Rather than allow data to bog down traditional memory systems in supercomputers and impact performance, the team from ORNL, along with researchers from the University of Tennessee, Knoxville, created a framework to manage data more efficiently with memory systems that employ more complex structures. 

ORNL R&D data scientist Max Pasini is posing for a portrait with a blue background, black button up long sleeve shirt

Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”

Image is blue and green with the background being a building on the left, merging into the photo on the right which are pictures of doppler radar graphics

Researchers at the Department of Energy’s Oak Ridge National Laboratory are using non-weather data from the nationwide weather radar network to understand how to track non-meteorological events moving through the air for better emergency response. 

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A novel combination of microscopy and data processing has given researchers at the Department of Energy’s Oak Ridge National Laboratory an unprecedented look at the surface of a material known for its unusual physical and electrochemical properties.
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A team representing Westinghouse Electric Company and the Consortium for Advanced Simulation of Light Water Reactors (CASL), a Department of Energy (DOE) Innovation Hub led by Oak Ridge National Laboratory (ORNL), has received an International Data Corporation HPC Innovation Excellence Award for applied simulation on Titan, the nation’s most powerful supercomputer, which is managed by the Oak Ridge Leadership Computing Facility at ORNL. s
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Knowing when and where diseases such as the flu will strike and their expected severity can save lives, save money and improve healthcare for millions of people, and that’s the focus of the Oak Ridge Bio-surveillance Toolkit, or ORBiT. This collection of novel statistical and machine learning tool...

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process work that spans microbial to global scales and feeds data into world-class models and simulations run on supercomputers; diverse environmental and clima...