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Articles by Ze Gu
Microwave diffractive neural network chips for sensing and computing
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Abstract Electromagnetic diffractive neural networks (DNNs) enable ultra–low-power, low-latency artificial intelligence (AI) inference, yet optical implementations suffer from fabrication and scalability limits, and metasurface microwave systems remain bulky.
Trivial-nontrivial programmable topological metasurfaces for sensing and communication
Abstract Trivial-nontrivial topological switching provides a distinctive physical pathway for multifunctional electromagnetic systems, yet has never been exploited for integrated sensing and communication (ISAC). Existing ISAC architectures rely almost exclusively on trivial spatial-wave beamforming, constraining near-field sensing robustness and limiting hardware scalability in 6 G scenarios.
Programmable skyrmions for communication and sensing
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Abstract Plasmonic skyrmions are electromagnetic counterparts of topologically stable quasiparticles and could potentially be used as robust information carriers. However, practical applications require tunable devices that can encode the topological structures. Here we report a programmable platform that can encode plasmonic skyrmions with diverse topologies, including Néel-type skyrmions and merons.
By Long Chen, Xin Li Verified, Yijie Shen, Ze Gu, Jian Su, Qiang Xiao, Si Huang, Shi Long Qin, Qian Ma, Jian Wei You, Tie Jun Cui
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Nature
Verified
Multifunctional movable-type coding metasurface enabling reconfigurable diffractive neural networks - Light: Science & Applications
Abstract Optical computing holds significant promise across diverse applications due to its low latency, power efficiency, and multidimensional processing capabilities. However, current diffraction neural networks (DNNs) generally lack reconfigurability, limiting the scalability of the optical computing systems.
Harmonic Plasmonic Skyrmions with Time‐Varying Manipulation
Conflicts of Interest The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description lpor70837-sup-0001-SuppMat.docx2.6 MB Supporting Information: lpor70837-sup-0001-SuppMat.docx References 1 and , “Classical Time Crystals,” Physical Review Letters 109 (2012): 160402, https://doi.org/10.1103/PhysRevLett.109.160402.
Dispersion‐Engineered Terahertz Spoof Plasmonic Neural Network for Parallel Computing and On‐Chip Communication
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description adma71970-sup-0001-SuppMat.pdf4.6 MB Supporting File: adma71970-sup-0001-SuppMat.pdf.
Secure wireless communication of brain–computer interface and mind control of smart devices enabled by space-time-coding metasurface - Nature Communications
Abstract Brain–computer interface (BCI) provides an interconnected pathway between the human brain and external devices and paves a potential route for mind manipulations. However, most existing BCI technologies are based on simple signal transmission and are independent of other interface devices, with limited consideration for the reliability and security of the human brain’s information interaction in complicated wireless environments.
Wildfire Impacts Pinus tabulaeformis Forests on Soil Properties, Actinobacteriota, and Enzyme Activity in Northern China: Direct Effects or Mutual Interactions?
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Intelligent Hand‐Gesture Recognition Based on Programmable Topological Metasurfaces
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adfm202411667-sup-0001-SuppMat.docx7 MB Supporting Information adfm202411667-sup-0002-VideoS1.mp41.9 MB Supplemental Video 1 References 1, , , , , , , Electromagn. Sci. 2023, 1, 1. 2, , , , , , , , Adv. Opt. Mater. 2019, 7, 1901285. 3, , , , , Adv. Opt. Mater. 2023, 7, 2301525. 4, , , , , , , , Phys. Rev. Appl. 2020, 13, 021003. 5, , , , , , Adv. Opt. Mater. 2017, 5, 1700548. 6, , , , , Light: Sci. Appl.
Direct electromagnetic information processing with planar diffractive neural network
Abstract Diffractive neural network in electromagnetic wave–driven system has attracted great attention due to its ultrahigh parallel computing capability and energy efficiency. However, recent neural networks based on the diffractive framework still face the bottlenecks of misalignment and relatively large size limiting their further applications.
Simultaneously Intelligent Sensing and Beamforming Based on an Adaptive Information Metasurface
1 Introduction Information metasurfaces, 2D artificial structures consisting of subwavelength elements developed from digital coding metamaterials, garnered significant attention due to their ability to flexibly control electromagnetic (EM) wave properties and link the physical world to the digital world.[1-6] Early-stage information metasurfaces with fixed coding sequences have already demonstrated the powerful capacity for EM manipulations.[7-13] By loading tunable electronic components in...
Reconfigurable Spoof Localized Surface Plasmonic for Frequency Detections
Abstract Under the impetus of wireless communications, metamaterials have attracted considerable attention due to their superior merits of free manipulation of electromagnetic waves and easy integration. However, most efforts to date are mainly focused on the modulation of wave information or recognition of wave intensity, while the frequency detection is rarely explored. Here, a spoof localized surface plasmon (SLSP) structure is proposed to realize reconfigurable frequency detections.
Reprogrammable Spoof Plasmonic Modulator
Abstract Driven by increasing demands for the ultra-compact interconnects of integrated electronics and the ultrafast information transfer of communication systems, research on spoof plasmonic metamaterials has attracted considerable attention. However, most efforts to date have been only achieved in individual modulation of amplitude or phase at a single frequency because of the limitation of structural design.
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