In work driven by Bin Zhao, a visiting Ph.D. student to the group, we show that a different strategy to optimizing the operational conditions of thermoelectric generators driven by radiative cooling and improve their output substantially, even with today’s TEGs. Available here.

Aaswath was profiled in The Washington Post for his work on radiative cooling: https://www.washingtonpost.com/climate-solutions/2020/10/07/radiative-cooling-climate-change/

New work by our machine learning team, now on arXiv! https://arxiv.org/abs/2008.00587

Our paper on using explainable machine learning to elucidate physical behavior in nanophotonic structures is out in ACS Photonics! https://pubs.acs.org/doi/10.1021/acsphotonics.0c01067 Congratulations to group members Chris Yeung, Ju-Ming Tsai, Brian King, Yusaku Kawagoe, David Ho and our collaborator Mark Knight at Northrop Grumman.

Aaswath was awarded a 2020-2021 Hellman Fellows Award. Thank you for the support!

Our new article examining the potential of paints for radiative cooling is out in Joule: https://www.cell.com/joule/pdf/S2542-4351(20)30179-3.pdf

An exciting experimental result led by Ph.D. student Jin Xu is now posted on arXiv! https://arxiv.org/abs/2004.06240

Aaswath’s perspective on infrared direct rectification of thermal radiation was published in Science.

Exciting work led by Ph.D. student Chris Yeung and M.S. student Ju-Ming Tsai is now posted on arXiv! https://arxiv.org/abs/2003.06075

A preprint of work by Ph.D. student Jin Xu is now available on IEEE TechrXiv.