Retrieval of all effective susceptibilities in nonlinear metamaterials

Stéphane Larouche, Vesna Radisic · Phys. Rev. A 97, 043863 (2018) · 2017

A generalized nonlinear transfer-matrix method enables retrieval of all effective nonlinear susceptibility terms in anisotropic electromagnetic metamaterials, demonstrated via sum frequency generation.

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Plain English summary

Electromagnetic metamaterials can be designed so their structure controls both linear and nonlinear electromagnetic behavior. The paper notes that nonlinear properties are usually anisotropic and that existing ways to extract (retrieve) nonlinear material parameters have limitations. The authors generalize a nonlinear transfer-matrix approach to include all nonlinear susceptibility terms. This lets them retrieve the full set of effective nonlinear susceptibilities for metamaterial elements rather than only partial information. They demonstrate the method using sum frequency generation, and state that the same approach can be used for other second-order or higher-order nonlinear processes.

Why this matters

Generalizing a nonlinear transfer matrix to retrieve all effective nonlinear susceptibility terms (not just limited subsets) for anisotropic electromagnetic metamaterial elements. The abstract describes a retrieval method and a demonstration, but provides no evidence of prototypes, field testing, or commercial deployment.

Key findings

  • Existing nonlinear retrieval methods have serious limitations for metamaterials.
  • A generalized nonlinear transfer matrix can account for all nonlinear susceptibility terms.
  • The method retrieves all effective nonlinear susceptibilities of metamaterial elements.
  • Demonstrated using sum frequency generation.
  • Applicable to other second-order or higher-order nonlinear processes.

Limitations

The abstract demonstrates the approach using sum frequency generation and does not specify experimental validation, device implementation, or performance metrics beyond retrieval capability.

Publication

Publisher
arXiv
Journal
Phys. Rev. A 97, 043863 (2018)
Publication date
December 13, 2017
Research type
Paper
arXiv
1712.04962
Access
open

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-5.4-nano-2026-03-17