PMID- 36117118 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20231106 IS - 2198-3844 (Electronic) IS - 2198-3844 (Linking) VI - 9 IP - 33 DP - 2022 Nov TI - Recent Progress in Reconfigurable and Intelligent Metasurfaces: A Comprehensive Review of Tuning Mechanisms, Hardware Designs, and Applications. PG - e2203747 LID - 10.1002/advs.202203747 [doi] LID - 2203747 AB - Intelligent metasurfaces have gained significant importance in recent years due to their ability to dynamically manipulate electromagnetic (EM) waves. Their multifunctional characteristics, realized by incorporating active elements into the metasurface designs, have huge potential in numerous novel devices and exciting applications. In this article, recent progress in the field of intelligent metasurfaces are reviewed, focusing particularly on tuning mechanisms, hardware designs, and applications. Reconfigurable and programmable metasurfaces, classified as space gradient, time modulated, and space-time modulated metasurfaces, are discussed. Then, reconfigurable intelligent surfaces (RISs) that can alter their wireless environments, and are considered as a promising technology for sixth-generation communication networks, are explored. Next, the recent progress made in simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) that can achieve full-space EM wave control are summarized. Finally, the perspective on the challenges and future directions of intelligent metasurfaces are presented. CI - (c) 2022 The Authors. Advanced Science published by Wiley-VCH GmbH. FAU - Saifullah, Yasir AU - Saifullah Y AD - College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, China. FAU - He, Yejun AU - He Y AUID- ORCID: 0000-0002-8564-5355 AD - College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, China. FAU - Boag, Amir AU - Boag A AD - School of Electrical Engineering, Tel Aviv University, Ramat Aviv, 69978, Israel. FAU - Yang, Guo-Min AU - Yang GM AD - Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, 200433, China. FAU - Xu, Feng AU - Xu F AD - Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, 200433, China. LA - eng GR - 62071306/National Natural Science Foundation of China/ GR - 2021M702273/China Postdoctoral Science Foundation/ GR - 2017YFA0100203/National Key Research and Development Program of China/ GR - JCYJ20200109113601723/Shenzhen Science and Technology Program/ GR - JSGG20210802154203011/Shenzhen Science and Technology Program/ GR - JSGG20210420091805014/Shenzhen Science and Technology Program/ PT - Journal Article PT - Review DEP - 20220918 PL - Germany TA - Adv Sci (Weinh) JT - Advanced science (Weinheim, Baden-Wurttemberg, Germany) JID - 101664569 SB - IM PMC - PMC9685480 OTO - NOTNLM OT - intelligent metasurfaces OT - machine learning OT - reconfigurable intelligent surfaces OT - simultaneous transmission and reflection OT - sixth-generation OT - space-time modulation OT - tunable COIS- The authors declare no conflict of interest. EDAT- 2022/09/19 06:00 MHDA- 2022/09/19 06:01 PMCR- 2022/09/18 CRDT- 2022/09/18 22:09 PHST- 2022/08/19 00:00 [revised] PHST- 2022/06/28 00:00 [received] PHST- 2022/09/19 06:00 [pubmed] PHST- 2022/09/19 06:01 [medline] PHST- 2022/09/18 22:09 [entrez] PHST- 2022/09/18 00:00 [pmc-release] AID - ADVS4535 [pii] AID - 10.1002/advs.202203747 [doi] PST - ppublish SO - Adv Sci (Weinh). 2022 Nov;9(33):e2203747. doi: 10.1002/advs.202203747. Epub 2022 Sep 18.