Cornell, partners to make upstate NY a regional engine for better batteries

With funding from the National Science Foundation, Cornell and a group of institutional partners have created the Upstate New York Energy Storage Engine to advance energy storage technology and boost large-capacity battery manufacturing in the region.

From lab to patent: Undergrad creates smart syringe for bioprinting

A smart sensor that attaches to the tip of a syringe can measure, in real time, the concentration and viability of the cells that pass through it – a potential breakthrough for biomedical 3D printing and cell therapy.

Cornell experts to offer solutions at Climate Week NYC

Climate Week NYC will get a Big Red tint as Cornell researchers suggest carbon solutions for the travel industry, discuss agricultural methane and participate in a nuclear energy conference.

Scientist Britney Schmidt wins Blavatnik Award

Britney Schmidt, associate professor of astronomy in the College of Arts and Sciences and of earth and atmospheric sciences in Cornell Engineering, has been named a laureate of the Blavatnik National Awards for Young Scientists.

Microscale kirigami robot folds into 3D shapes and crawls

Researchers created a robot less than 1 millimeter in size that is printed as a 2D hexagonal “metasheet” but, with a jolt of electricity, morphs into preprogrammed 3D shapes and crawls.

Bee antidote to deadly pesticides shows promise

An antidote to pesticide poisoning in bees shows promising early results in tests done with common eastern bumblebees. 

Kicking off a new year of entrepreneurship

The Entrepreneurship Kickoff is hosted each year by Entrepreneurship at Cornell and drew than 300 students this year.

Around Cornell

Robert Pohl, innovator in condensed matter physics, dies at 94

Robert (Bobby) Pohl, the Goldwin Smith Professor of Physics Emeritus in the College of Arts and Sciences, died Aug. 30 in Göttingen, Germany. He was 94.

Diagnostic tool identifies puzzling inflammatory diseases in kids

A Cornell-led collaboration developed machine-learning models that use cell-free molecular RNA to diagnose pediatric inflammatory conditions that are difficult to differentiate.