Barely Significant
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Machine Learning in Interpolation and Extrapolation for Nanophotonic Inverse Design.

ACS Omega · 2022 · PMC9494689 · PMID 36157720

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quite significantno p-value reported
While training times overall can be quite significant, one key advantage of using ML and ANN techniques is that once the networks are trained, all four networks take a fraction of a second to predict the spectra of a structure fed into the network.

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