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A graphic representation of how deep learning is used to extract information from text-based cancer pathology reports.

The development and maturation of automated data tools for cancer research, part of the objectives outlined in the White House’s Cancer Moonshot initiative, could give medical researchers and policymakers an unprecedented view of the U.S. cancer population—at a level of detail typi...

General Mode KPFM uses advanced signal processing and analysis methods to extract local electronic properties directly from a noisy cantilever deflection signal.

Scientists at Oak Ridge National Laboratory are harnessing big data capture and analytics to quickly develop deep insight into materials and their dynamics. Their new technique builds on Kelvin probe force microscopy, long used to gather information about electronic properties by “...

ORNL’s Manjunath Gorentla Venkata helped develop a new approach to analyze thousands of genetic samples by connecting powerful computing resources.

Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants 

The Carmel caprock, which overlies an aquifer naturally charged with carbon dioxide, was analyzed with neutron scattering, revealing alteration only in the basal 7 cm and progression of caprock corrosion an order of magnitude slower than expected.
Storing carbon dioxide for millennia in geologic formations relies on effective seals. Gernot Rother of Oak Ridge National Laboratory participated in analysis of neutron scattering data taken at the Jülich Centre for Neutron Science during a collaborative study led by Cambridge Univ...
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Measurement and data analysis techniques developed at the Department of Energy’s Oak Ridge National Laboratory could provide new insight into performance-robbing flaws in crystalline structures, ultimately improving the performance of solar cells.

Oak Ridge National Laboratory researchers re-evaluated used nuclear fuel rods from a commercial reactor and reduced data uncertainties by an order of magnitude compared with previous measurements taken at a different lab.

Nearly 100 commercial nuclear reactors supply one-fifth of America’s energy. For each fuel rod in a reactor assembly, only 5 percent of its energy is consumed before fission can no longer be sustained efficiently for power production and the fuel assembly must be replaced. Power plan...

Behind the work station, cryomodule 19 undergoes in-situ plasma processing inside the SNS linac. The inset shows a 6-cell cavity with monitored plasma inside each cell. Image credit: Genevieve Martin/ORNL.
A novel technique known as in-situ plasma processing is helping scientists get more neutrons and better data for their experiments at the Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory. “Plasma cleaning is a well-known technique in electrosta...
A new app developed at ORNL makes fuel economy and other information more readily accessible to car buyers.

Fuel economy data, sticker price, emissions information, safety ratings and much more is available at your fingertips with the latest Find-a-Car tool, an app designed specifically for easy searches on mobile devices. FuelEconomy.gov, maintained by the Department of Energy with d...

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By studying hospital occupancy rates in hospitals of countries where data is readily available, Oak Ridge National Laboratory researchers hope to further refine their population distribution and dynamics work. For this effort, researchers are focusing on night and day population de...

This ORNL-developed map depicts different classes of vegetation canopy structure in the Tennessee portion of the Great Smoky Mountains National Park.
A new data analytics approach developed by Oak Ridge National Laboratory could help forest and wildlife managers track changes in vegetation and wildlife habitat across large land areas.