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mathematical sciences, Computational Sciences & Mathematics

PNNL’s Computing Research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development. At PNNL, scientists, engineers, programmers, and researchers work together to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions to address complex scientific challenges affecting energy, biological sciences, the environment, and national security.


#Flu. Research highlighted in Scientific American

Scientific American recently featured work led by Svitlana Volkova, a scientist with NSD’s Computing and Analytics Division, on using social media to predict influenza outbreaks. The article,“#Flu: Mining Social Media to Predict Outbreaks,” compared work from Volkova’s team, which used deep learning to correlate certain words in Twitter feeds with flu outbreak patterns, with previous research. The deep learning algorithm proved to be a good early predictor of outbreaks.


A Medal for Metal

Congratulations to the research team from industry and Argonne, Oak Ridge, and Pacific Northwest national laboratories, who were awarded the American Iron and Steel Institute Medal for work featured in “Deformation Mode and Strain Path Dependence of Martensite Phase Transformation in a Medium Manganese TRIP Steel.” The medal recognizes technical papers with “special merit and importance in connection with the activities and interests of the iron and steel industry.”


Rallo Elevated to IEEE Senior Member

Earlier this year, Robert Rallo, ACMD Division Data Sciences Group Lead, was named an IEEE Senior Member. Senior Member is the highest grade that IEEE members can apply for and recognizes their professional practice and significant performance in designated fields. As a Senior Member, Rallo now ranks among IEEE’s select associates as only 10 percent of its nearly 400,000 members achieve the distinction.

Shippert Contributes to First-ever Observations of Methane’s Impact on Greenhouse Effect

In recently released work published in Nature Geoscience, researchers led by LBNL drew on a decade’s worth of detailed atmospheric measurements to present the first observational outcome from methane’s influence of the greenhouse effect at the Earth’s surface. Tim Shippert, an engineer with PNNL’s Data Integration team, contributed to the analyses that measured methane’s impact.


Award-winning CCSI Toolset Gets Open-Source Release on GitHub

The Carbon Capture Simulation Initiative recently released its CCSI Toolset, a computational tools and models suite, as open-source software now available on GitHub. Designed to maximize learning and reduce risk during the scale-up process for carbon capture technologies, the CCSI Toolset features contributions from PNNL scientists involving computational fluid dynamics models used to simulate the complex physical and chemical processes of carbon capture.

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Computing Research

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