PRISM is a position-encoded autoregressive transformer that solves the inverse design of multilayer thin films via spectrum prefix conditioning and cumulative-depth RoPE, reporting over 50% MAE reduction versus baselines with fewer parameters.
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PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
PRISM is a position-encoded autoregressive transformer that solves the inverse design of multilayer thin films via spectrum prefix conditioning and cumulative-depth RoPE, reporting over 50% MAE reduction versus baselines with fewer parameters.