In Nano Letters, researchers from Rensselaer Polytechnic Institute recently demonstrated how they could harness promising characteristics of one such material — vanadium dioxide (VO2) — in order to lay the groundwork for practical application in future technologies.
Rensselaer Polytechnic Institute students Justin Hubbard ’22, Mark Muscara ’22, Ronak Patel ’22, and Emmanuel Sylvester ’21 have been named University Innovation Fellows by the Hasso Plattner Institute of Design at Stanford University.
In a special episode of Why Not Change the World? The RPI Podcast, two prominent inventors — who also happen to be Rensselaer Polytechnic Institute alumni — look to the future and offer their advice on how to prepare for it.
Researchers at Rensselaer Polytechnic Institute have been working diligently to find and harness a quasiparticle that has a quantum degree of freedom, an essential property needed to advance quantum computing and quantum information storage.
Tong Zhang, a professor of electrical, computer, and systems engineering at Rensselaer Polytechnic Institute, has been elevated to IEEE Fellow, effective January 1, 2020.
On the newest episode of Why Not Change the World? The RPI Podcast, two leading engineers reflect on what drew them to the field and how it can be used to change the world.
The Center for Career and Professional Development at Rensselaer Polytechnic Institute has been strategically building partnerships with companies throughout the United States and globally to create a wide array of opportunities for students to pursue as part of The Arch at Rensselaer. One notable partnership Rensselaer cultivated is with Western Digital.
As a participant in pilot two of The Arch at Rensselaer Polytechnic Institute, Daniel Kang ’20, a biomedical engineering major with a concentration in mechanics, enhanced his academic portfolio by attending Télécom Physique in Strasbourg, France.
There are lots of reasons to switch to an electric car: they’re more fun to drive, cheaper to fuel, and way better for the environment than gas guzzlers. As a member of the Rensselaer community, you already live or work near a charging station, but if you’re still waiting for a sign to make the switch to electric, this is it.
The machine learning techniques that are increasingly being used to interpret data have the potential to advance our understanding and management of human health. In a position paper recently published in Digital Medicine, a Nature Journal, an interdisciplinary team of experts from across the country lay out a possible path forward for improving these data analytic techniques.