Thermal analysis guides future design of 2D hybrid materials
Cornell engineers are the first to study thermal transport in 2D hybrid perovskites – a new class of materials with promising applications for photovoltaics and thermoelectronics.
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Cornell engineers are the first to study thermal transport in 2D hybrid perovskites – a new class of materials with promising applications for photovoltaics and thermoelectronics.
A Cornell-led collaboration identified an unusual behavior of superfluid helium-3 when it undergoes a phase transition between two different superfluid states – a transition that theoretically shouldn’t happen reliably.
An interdisciplinary team of Cornell researchers has created a cohort of new quantum metamaterials that can achieve superconductivity at temperatures competitive with state-of-the-art solid-state materials synthesis.
Research supported by the 14 grants ranges from the physics of quantum computing to the design of new musical instruments.
More than a hundred people gathered virtually at the end of April for the 2021 annual conference on the CCAT-prime project, which is building the Fred Young Submillimeter Telescope (FYST) in Chile. “First light” is scheduled for 2023.
A number of special events are planned in the College of Arts & Sciences to celebrate Reunion 2022.
The technology could enable low-cost, portable diagnostic devices for testing blood samples, manipulating cells or assisting in microfabrication processes.
Twenty Milstein Program seniors will graduate this year with degrees in everything from biology to linguistics to computer science to physics.
Junkai Dong is a physics and math major.
Klarman Fellow Vijay Varma applied a new method of studying binary black holes to analyze data gathered by the LIGO and Virgo gravitational wave detectors.
Eshan Mehrotra is a chemistry and physics major.
Daniel Longenecker is a physics education and College Scholar major.
A doctoral candidate in physics from Guangdong, China, Yongjian Tang is a recipient of a 2022 Wu Scholarship.
Prof. Eun-Ah Kim's research, using a machine learning technique developed with Cornell computer scientists, sets the stage for insights into new phases of matter.
Undergraduate student Imaan Rahim '22 wins honorable mention at AAS Chambliss Poster Awards.