{
  "id": 9977,
  "url": "https://doi.org/10.1186/s43074-025-00224-0",
  "title": "Adaptive transparent cloaking tunnel enabled by Meta-Reinforcement-Learning Metasurfaces",
  "summary": "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",
  "authors": "Jiwei Zhao, Peixuan Zhu, Zhibin Wen, Fanyi Tang, Bin Zheng, Rongrong Zhu",
  "category": "research",
  "topics": "transparency",
  "orgs": "meta",
  "regions": null,
  "published_at": "2026-01-06T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:04.101Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9977",
  "original_url": "https://doi.org/10.1186/s43074-025-00224-0",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}