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.
Note: Prior to fall 2020, Roar was known as ICDS-ACI, or the Institute for Computational and Data Sciences Advanced CyberInfrastructure.
Model for acid-tolerant yeast helps guide industrial organic acid production
Research conducted by Costas Maranas and published in Metabolic Engineering Communications.
High-Performance Computing for the Birds: DNA Sequencing Traces Macaw’s Origins
Research conducted by Richard George and published in Proceedings of the National Academy of Sciences.
HPC-Powered Computer Simulations May Place Safer, Less Expensive Vehicles on...
Research conducted by Adri van Duin, Małgorzata Kowalik and published in Science Advances.
Making the financial system fairer for minorities with data science
Research conducted by Brent Ambrose and published in Singapore Management University’s Conference on Urban and Regional Economics.
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.