Roar is the supercomputing system ICDS manages and operates for the Penn State research community. Thousands of researchers, from undergraduate students to distinguished faculty, use Roar each year for cutting-edge work. Below is a small selection of published, peer-reviewed research that used Roar resources.
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Note: Prior to fall 2020, Roar was known as ICDS-ACI, or the Institute for Computational and Data Sciences Advanced CyberInfrastructure.
HPC Computing Adds Muscle to Understand a Body-Building Process
Research conducted by Edward O'Brien and published in The Proceedings of the National Academy of Sciences..
Computational Research Reveals Path to More Efficient Semiconductors
Research conducted by Ismaila Dabo and published in ACS Nano.
Big Data Maps Political ‘Movements’
Research conducted by Bruce Desmarais and published in PLOS One.
Big Data Can Keep Officials in the Know About Water...
Research conducted by Xiaofeng Liu, Roman DiBiase and published in Earth Surfaces Processes and Landforms.
Machine Learning-based Model May Help the Search for Earth-Like Planets
Research conducted by Eric Ford and published in The Astronomical Journal.
Data Analysis Offers Understanding of Weather on Mars
Research conducted by Steven Greybush and published in Geoscience Data Journal.
Filling in Data Holes to Focus Data Research on Tough...
Research conducted by Hyungsuk Tak and published in Journal of Computational and Graphical Statistics.
Supervised Learning Method May Help Clear Up Cloudy Weather for...
Research conducted by John Harlim and published in Monthly Weather Review.
Machine Learning Can Help Turn Wearable Data into Scientific Discovery
Research conducted by Zita Oravecz, Tim Brick and published in Journal of Healthcare Informatics Research.