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PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

TL;DR AI

Key summary

2 min read
  1. Researchers introduced PRISM, a decoder-only transformer for inverse design of multilayer thin-film optical coatings.

  2. PRISM jointly predicts layer materials and thicknesses from target spectra using spectrum prefix conditioning and cumulative-depth positional encoding.

  3. It outperforms baseline transformer methods on error and speed, and remains competitive with simulated annealing.

  4. The approach could make optical coating development faster and more accurate.

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