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arXiv · 2507.02764

Terahertz Chip-Scale Meta-Networks with LSPR Routing: A Theoretical Framework

Abstract

Efficient chip-scale interconnects are essential for modern microelectronic-photonic systems, supporting high bandwidth and low-latency processing. Traditional wired links face high resistivity and latency, while millimeter-wave wireless solutions suffer from bandwidth congestion and interference. Terahertz (THz) plasmonic communication, based on surface plasmon polaritons (SPPs), offers high data rates and broad bandwidth, and is compatible with nanophotonic platforms. This work introduces a Binary Field-Driven Meta-Routing Method supported by a semi-analytical framework that models the tunable interaction between THz plasmonic phenomena and graphene's electromagnetic properties. By modulating graphene's impedance, the method enables dynamic coupling and routing of localized surface plasmon resonances (LSPRs) across a meta-network, facilitating real-time beam steering in chip-scale systems. Combining analytical conductivity models, coupled-mode theory, and algorithmic control, the approach enables predictive configuration of LSPR-based steering in reconfigurable graphene metasurfaces. Four meta-pixel antenna configurations Y-MetaRouter, MetaSwitcher, Penta-MetaEmitter, and CP-MetaCore are designed to support unidirectional radiation, bi-directional steering, frequency-driven transitions, and circular polarization, respectively. Chemical potential modulation creates reconfigurable LSPR pathways and virtual SPP channels. A Coupled-Mode Theory for Field-Driven LSPR Meta-Networks is proposed to model current distributions and predict far-field characteristics. Results show strong agreement between theory and full-wave simulations. A point-to-point meta-wireless link is analyzed, demonstrating scalability for low-latency, high-performance THz communication in WiNoC and chiplet applications. System-level metrics confirm feasibility for space-constrained, high-speed interconnects.

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Maryam Khodadadi, Hamidreza Taghvaee, Pei Xiao, Gabriele Gradoni, Mohsen Khalily. 2025-07-03. Terahertz Chip-Scale Meta-Networks with LSPR Routing: A Theoretical Framework. https://arxiv.org/abs/2507.02764

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