In research published Langmuir, a team led by Steven Cramer, an endowed chair professor of chemical and biological engineering, explored the fundamentals of how different molecules interact with various surfaces during the purification process.

Having challenged the idea that our environment cannot alter our genetically controlled 24-hour sleep-wake cycle, circadian rhythm researcher Jennifer Hurley has embarked on a new project tracing the mechanism between environmental signals and the circadian clock.

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.

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.

TROY, N.Y. — A novel experiment aimed at studying the mechanics of amyloid fibrils — a type of protein aggregation associated with diseases like diabetes, Alzheimer’s, and Parkinson’s — started today aboard the International Space Station (ISS), led by a team at Rensselaer Polytechnic Institute.

Like many other cells and organs within the body, cardiac cells possess a type of asymmetry that may play an important role in healthy heart formation and could serve as the basis for interventions to prevent congenital heart defects.

An expert in applying artificial intelligence (AI) to problems in animal ecology at Rensselaer Polytechnic Institute will join a team of researchers in a new $20 million National Science Foundation (NSF) Artificial Intelligence Research Institute announced on Thursday.

An innovative testing platform that more closely mimics what cancer encounters in the body may allow for more precise, personalized therapies by enabling the rapid study of multiple therapeutic combinations against tumor cells. The platform, which uses a three-dimensional environment to more closely mirror a tumor microenvironment, is demonstrated in research published in Communications Biology.

A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.

Rensselaer Polytechnic Institute and Stevens Institute of Technology announced today that they have been awarded the first-ever National Science Foundation (NSF) grant to create an industry-university cooperative research center devoted specifically to financial technology and science.