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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