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Chemistry professor Abruña honored by international society

Hector Abruña, the Emile M. Chamot Professor in the Department of Chemistry and Chemical Biology, has been awarded the Frumkin Memorial Medal from the International Society of Electrochemistry.

Data visualization could reveal nature of the universe

By applying scientific principles used to create models for understanding cell biology and physics to the challenges of cosmology and big data, Cornell researchers have developed a promising algorithm to map a multifaceted set of probabilities.

Cornell instruments gather radio ‘disruption’ data in ionosphere

Two NASA sounding rockets – with Cornell-built instruments – soared into the night heavens above the Marshall Islands June 19 to study the ionosphere.

Robot circulatory system powers possibilities

Cornell engineers have created a synthetic vascular system for soft robots capable of pumping an energy-dense hydraulic liquid that stores and deploys energy in an integrated design.

Machine learning unlocks mysteries of quantum physics

A Cornell-led team has developed a way to use machine learning to analyze data generated by scanning tunneling microscopy, yielding new insights into how electrons interact and showing how machine learning can be used to further discovery in experimental quantum physics.

Synthetic joint lubricant holds promise for osteoarthritis

A new type of treatment for osteoarthritis, currently in canine clinical trials, shows promise for eventual use in humans.

Nicholson wins astronomy’s 2019 Masursky Award

The American Astronomical Society Division for Planetary Sciences will honor Cornell astronomy professor Phil Nicholson with the 2019 Harold Masursky Award.

Study offers new target for antibiotic resistant bacteria

Published research by chemist Nozomi Ando, performed at CHESS, has identified a new vulnerability in bacteria that offers a possible avenue for dealing with antibiotic resistance.

Awards fund innovations in digital agriculture

Projects ranging from a soil-swimming robot that can sense conditions in the root zone in real time to computational models that can predict produce spoilage received seed funds from the Cornell Initiative for Digital Agriculture’s new Research Innovation Fund.