Researchers flip the switch on electric control of crystal symmetry

A Cornell-led collaboration has for the first time used voltage to turn on and off a material’s crystal symmetry, thereby controlling its electronic, optical and other properties – a discovery that could have a profound impact on building future memory and logic devices.

New tomato bred to naturally resist pests and curb disease

A Cornell researcher has completed a decades-long program to develop new varieties of tomato that naturally resist pests and limit transfer of viral disease by insects.

Cornell to help boost US supply of critical energy minerals

A Cornell engineering professor will play a major role in a new federally funded project to increase the domestic supply of minerals needed to improve and sustain green energy.

Listeners control the dial in genre-crossing music

New Cornell research shows how the rise of consumers’ influence changed the tune of contemporary country music and led to the creation of more songs that span multiple genres.

Product images could boost food pantry use

Cornell researchers found that visual depictions of food pantry offerings, including brand names, have an ameliorative effect on negative product perceptions.

New work by Prof. Roberto Sierra featured in Jan. 29 concert

The Sierra Duo – John Haines-Eitzen, cello, and Matthew Bengtson, piano – will perform Sierra’s “Cuatro Piezas para cello y piano” and other pieces Jan. 29.

Around Cornell

2023 Scientific Computing Training Series announced 

On Feb. 7, Cornell's Center for Advanced Computing (CAC) and Weill Cornell Medicine Scientific Computing, ITS, and Clinical and Translational Science Center will roll out the 2023 Scientific Computing Training Series. 

Around Cornell

AAP department of art announces unique new image text M.F.A.

A new interdisciplinary, low-residency graduate program welcomes new faculty integrating critical engagement and creative practices across image and text.

Around Cornell

AI improves detail, estimate of urban air pollution

Using artificial intelligence, Cornell engineers have simplified models that accurately gauge the fine particulate matter in urban air pollution – exhaust from cars and trucks that get into human lungs.