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Thomas Watkins
Thomas Watkins, a researcher at the Department of Energy's Oak Ridge National Laboratory, has been elected fellow of the International Centre for Diffraction Data.
Map of locations associated with FRED observations.

Oak Ridge National Laboratory (ORNL) scientists have released a new global, centralized database of plant root traits, or identifying characteristics, that can advance our understanding of how the hidden structure of plants belowground may interact with and relate to life aboveground. ...

The team transmitted the ORNL logo, an oak leaf, between two end points in the laboratory with 87 percent calculated fidelity. (Left): The original 4-color, 3.4kB image. (Right): The image received using superdense coding.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have set a new record in the transfer of information via superdense coding, a process by which the properties of particles like photons, protons and electrons are used to store as much informatio...
Ramakrishnan “Ramki” Kannan loves the excitement and challenge of working at Oak Ridge National Laboratory, home to Titan.

Supercomputers like Oak Ridge National Laboratory’s Titan are advancing science at a frenetic pace and helping researchers make sense of data that could have easily been missed, says Ramakrishnan “Ramki” Kannan. Kannan, a computer scientist who came to ORNL in March 2016 after ...

GWAS SNP Populus trees under study

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have released the largest-ever single nucleotide polymorphism (SNP) dataset of genetic variations in poplar trees, information useful to plant scientists

Atomic arrangements inside the unit cell of an iron-based superconducting material show that reduction of unit cells along the c-axis is necessary for causing superconductivity.
Hundreds of tables and plots from papers published about superconductivity are the focus of a Journal of Physics: Condensed Matter review paper that condenses this data into a single graph. “We were able to find a pattern throughout many scientists’ work that was never recognized b...
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...