Computational Science and Engineering

Machine Learning Tests Abilities of Rare-Earth Phosphates Given Atmospheric Extremes

Materials and mechanical scientists are using machine learning to rapidly vet combinations of elements that could be used in next-generation environmental barrier coatings needed to protect vehicles traveling in the extreme conditions of aerospace and space environments. The project, led by researchers at Rensselaer Polytechnic Institute, is supported by the National Science Foundation.

Expert in Ecological Applications of AI Joins Newly Announced Imageomics Institute

Rensselaer Polytechnic Institute computer scientist Chuck Stewart will join a newly created institute aimed at using images of living organisms to understand biological processes like species evolution, genetic inheritance patterns, and even behavior. Stewart, an expert in the ecological applications of artificial intelligence and computer vision, will join the new Imageomics Institute, which is supported by a $15 million grant from the National Science Foundation (NSF). Rensselaer Polytechnic Institute computer scientist Chuck Stewart will join a newly created institute aimed at using images of living organisms to understand biological processes like species evolution, genetic inheritance patterns, and even behavior. Stewart, an expert in the ecological applications of artificial intelligence and computer vision, will join the new Imageomics Institute, which is supported by a $15 million grant from the National Science Foundation (NSF).

Rensselaer Welcomes Congressional Bipartisan Discussion on the Future of Energy

Faculty from Rensselaer Polytechnic Institute served as experts in an exchange of information about developments in the field of sustainable energy, large-scale environmental change, and innovative and interdisciplinary research into energy storage and smart systems in the built environment on a recent visit by two members of the U.S. Congress.

App Developed at Rensselaer Can Help Guide COVID-19 Management on Any Campus

In the midst of the COVID-19 pandemic, as Rensselaer leaders prepared to bring students back to campus for the fall 2020 semester, they relied on a powerful algorithm to determine a testing schedule that, along with other tools, has helped maintain a safe environment on campus. That algorithm is now publicly available as a free online app.

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