Plasmonic array nanoantennas on layered substrates: modeling and radiation characteristics.
Abstract
In this paper, we theoretically characterize the performance of array of plasmonic core-shell nano-radiators located over layered substrates. Engineered substrates are investigated to manipulate the radiation performance of nanoantennas. A rigorous analytical approach for the problem in hand is developed by applying Green's function analysis of dipoles located above layered materials. It is illustrated that around the electric scattering resonances of the subwavelength spherical particles, each particle can be viewed as an induced electric dipole which is related to the total electric field upon that particle by a polarizability factor. Utilizing this, we can effectively study the physical performance of such structures. The accuracy of our theoretical model is validated through using a full-wave finite difference time domain (FDTD) numerical technique. It is established that by novel arraying of nano-particl and tailoring their multilayer substrates, one can successfully engineer the radiation patterns and beam angles. Several optical nanoantennas designed on layered substrates are explored. Using the FDTD the effect of finite size substrate is also explored.
AI evidence extraction
Main findings
The paper develops a Green’s-function-based analytical model for plasmonic core-shell nano-radiator arrays above layered substrates and validates it using full-wave FDTD simulations. It reports that array configuration and multilayer substrate tailoring can be used to engineer radiation patterns and beam angles, and explores effects of finite-size substrates in FDTD.
Outcomes measured
- Radiation performance of plasmonic core-shell nanoantenna arrays on layered substrates
- Radiation patterns and beam angles (modeling/engineering outcomes)
- Validation of analytical model vs. FDTD simulations
- Effect of finite-size substrate on nanoantenna performance
Limitations
- The abstract describes theoretical modeling and numerical validation only; no biological/health outcomes are reported.
- No specific frequencies, exposure metrics (e.g., SAR), or quantitative performance results are provided in the abstract.
View raw extracted JSON
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"study_type": "engineering",
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"outcomes": [
"Radiation performance of plasmonic core-shell nanoantenna arrays on layered substrates",
"Radiation patterns and beam angles (modeling/engineering outcomes)",
"Validation of analytical model vs. FDTD simulations",
"Effect of finite-size substrate on nanoantenna performance"
],
"main_findings": "The paper develops a Green’s-function-based analytical model for plasmonic core-shell nano-radiator arrays above layered substrates and validates it using full-wave FDTD simulations. It reports that array configuration and multilayer substrate tailoring can be used to engineer radiation patterns and beam angles, and explores effects of finite-size substrates in FDTD.",
"effect_direction": "unclear",
"limitations": [
"The abstract describes theoretical modeling and numerical validation only; no biological/health outcomes are reported.",
"No specific frequencies, exposure metrics (e.g., SAR), or quantitative performance results are provided in the abstract."
],
"evidence_strength": "insufficient",
"confidence": 0.7399999999999999911182158029987476766109466552734375,
"peer_reviewed_likely": "yes",
"keywords": [
"plasmonic nanoantennas",
"core-shell nanoparticles",
"layered substrates",
"Green's function",
"dipole model",
"polarizability",
"FDTD",
"radiation pattern",
"beam steering"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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