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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! 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.

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