ArticleRSC advances2026
Smart window films with ultra-broadband radiative regulation for all-season building energy saving.
Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Windows are critical pathways for heat exchange and thermal radiation transfer across building envelopes, making temperature-adaptive spectral control essential for year-round building energy conservation. However, the strong coupling among visible, solar, and thermal-infrared responses, together with the high structural sensitivity and complex design space of multilayer films, makes coordinated multi-objective optimization challenging. To address this issue, this study proposes a Deep Q-network (DQN)-based reinforcement-learning inverse design framework coupled with the transfer matrix method (TMM). A two-stage optimization strategy is employed: dielectric materials and layer thicknesses are first optimized simultaneously using a symmetric dielectric/VO
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