Penn State Professor Dipanjan Pan co-invented ErythroMer, an artificial oxygen carrier, that will be used in a $46 million project to develop an artificial whole blood product
Seth Bordenstein, Dorothy Foehr Huck and J. Lloyd Huck Endowed Chair in Microbiome Sciences and professor of biology and entomology at Penn State, will offer insights into his research on microbiomes and their impact on the world in his talk, “Why We Look Down (To the Microbes) For Wonder, Impact and Discovery,” on March 31.
Penn State will host the Climate Solutions Symposium on May 22 and 23 at the Penn Stater Hotel and Conference Center.
Lauren McKeown, a postdoctoral fellow at NASA’s Jet Propulsion Laboratory, will discuss her experiments to test the formation of Martian “spiders” and present a new hypothesis for the formation of Europa’s Manannán spider, in her talk "Spiders on Mars, Europa and in the Laboratory: Insights for Icy Planetary Surface Processes through Analog Experiments” at 4 p.m., Monday, March 27.
In Renee Dorer’s job with a jet engine manufacturing company, her work involved modeling fire in combustors, a problem that involves both thermodynamics and turbulent air flow.
As Guido Cervone takes the reins as president of the natural hazards section of the American Geophysical Union (AGU) he brings with him decades of experience in using machine learning, remote sensing and increasing representation to forecast, respond and mitigate dangers from natural hazards.
The biggest question an entrepreneur faces is a simple one: Are there enough potential customers to turn my big idea into a business? A trio of Penn State researchers were selected recently for the National Science Foundation’s (NSF) National I-Corps Program to find an answer for their own big idea.
Earthquakes are notoriously hard to predict, and scientists currently rely on seismic hazard maps to predict the likelihood of an earthquake to strike a particular region.
Elham Rahimi, a graduate student in the John and Willie Leone Family Department of Energy and Mineral Engineering, received the SME Ph.D. Fellowship grant from the Society for Mining, Metallurgy and Exploration (SME).
A team of Penn State researchers developed a deep learning model that provides improved predictions of air quality in wildfire-prone areas and can differentiate between wildfires and non-wildfires.