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Evidence record 9977 · automatically gathered

Adaptive transparent cloaking tunnel enabled by Meta-Reinforcement-Learning Metasurfaces

Abstract Conventional electromagnetic cloaking paradigms predominantly necessitate the encasing of static objects within predefined topological enclosures, fundamentally restricting invisibility to fixed, closed geometries. Realizing dynamic, adaptive concealment for arbitrary moving targets within an open, boundary-free aperture remains a formidable challenge. Here, we report a meta-reinforcement-learning metasurface (Meta 2 Surface) that enables the first experimental demonstration of a "trans

Record details

Published: 6 January 2026
Source: OpenAlex
Category: Research
Topics: Transparency
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (6 January 2026), “Adaptive transparent cloaking tunnel enabled by Meta-Reinforcement-Learning Metasurfaces,” evidence record 9977, https://ethics.ai/record/9977 (originally published by OpenAlex).

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