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.
Did you use Roar in your research? Tell us about it and we may feature your work here, too!
Transcriptomic, RNA responses to Mayaro virus infection in mosquitoes
Research conducted by Jason L. Rasgon and published in PLOS Neglected Tropical Diseases.
Project-Based Learning’s Impact on AP Exam Performance
Research conducted by Kari Lock Morgan, Alyssa Hu and published in Education Evaluation and Policy Analysis.
Safe and Efficient Boost for Accelerated Molecular Dynamics Simulations
Research conducted by Jianming Cui, Kristen A. Fichthorn and published in The Journal of Chemical Physics.
Building a Rapid, Low-Cost Virus Test
Research conducted by Derrick Butler and Aida Ebrahimi and published in Biosensors and Bioelectronics.
Testing gravitational waveform models using angular momentum
Research conducted by Neev Khera, Abhay Ashtekar and Badri Krishnan and published in PHYSICAL REVIEW D.
Commuting Patterns Affected Spread, Death Rates of COVID-19
Research conducted by Christopher Seto, Aria Khademi, Corina Graif, and Vasant G. Honavar and published in Population Association of America Annual Meeting.
‘Sharpening’ computer models may improve weather predictions
Research conducted by Aaron Wang, Ying Pan, and Paul Markowski and published in Journal of Atmospheric Sciences.
New models may better predict promising compounds for photovoltaics
Research conducted by Saeed S. I. Almishal and Ola Rashwan and published in Royal Society of Chemistry.
Cacao genome structures may offer clues about plant diversity
Research conducted by Claude dePamphilis, Eric Wafula, and Paula E. Ralph and published in PNAS.