New publication in Applied Physics Letters

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.

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Paper out in ACS Photonics on explainable ML!

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

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