AI RESEARCH
PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design
arXiv CS.LG
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ArXi:2605.26502v1 Announce Type: new The inverse problem of multilayer thin-film optical coatings design represents a complex combinatorial-continuous optimization challenge. We present PRISM (Position-encoded Regressive Inverse Spectral Model), a unified decoder-only autoregressive transformer that streamlines this process by jointly predicting discrete material selection and continuous thickness regression within a single backbone