New ‘Thought Summit’ series welcomes proposals on data science and AI

Cornell faculty are invited to submit proposals for fully funded Thought Summits to spark interdisciplinary collaborations in data science and AI, with applications due June 16.

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Research at risk: Building our future in space

A simulator - with real, hovering spacecraft - would have allowed researchers, companies and government agencies to test crucial space technologies, but a stop-work order from the federal government has halted construction. 

Smarter, faster AI models explored for molecular, materials discovery

Cornell researchers are demonstrating how artificial intelligence – particularly deep learning and generative modeling – can accelerate the design of new molecules and materials, and even function as an autonomous research assistant.

Seventeen receive awards recognizing inclusive excellence

The Graduate Diversity and Inclusion Awards recognized members of the graduate community for their impacts on advancing access, engagement and belonging through service and leadership.

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Tiny gas bubbles reveal secrets of Hawaiian volcanoes

Using advanced technology that analyzes tiny gas bubbles trapped in crystal, a team of scientists led by Cornell has precisely mapped how magma storage evolves as Hawaiian volcanoes age.

New perovskite design sets solar cells on path to stability

By finding the atomic equivalent of a perfect handshake between two types of perovskite, researchers at Cornell have built solar cells that are not only high-performing, but exceptionally durable.

Cornell Engineering innovations drive student commercialization plans

From a nanotech solution for removing toxic chemicals from water to a 3D-printing method for high-precision drug delivery, Cornell students put research innovations to the test in the first Technology Commercialization Innovation Competition.

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Inclusive Excellence awards recognize Engineering community members

The Cornell Engineering Office of Inclusive Excellence recognized outstanding undergraduate and graduate students, student organizations, faculty and staff at their Annual Awards Banquet on April 28.

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Tool predicts impact of wildfire smoke on solar power generation

Cornell researchers created a machine learning-based model that can forecast, with greater accuracy than current methods, the impact severe wildfire conditions will have on solar electricity generation.