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February 27, 2026Chemical Society ReviewsOpen Access

Artificial intelligence and machine learning for plasmonic and surface-enhanced sensing

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Authors

AGAilsa GeddisHWHannah WilliamsSBSaba Bashir

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Overview

This review explores AI/ML applications to improve plasmonic sensing sensitivity and robustness in various fields, indicating promising developments.

Key Points

  • This work aims to explore how artificial intelligence and machine learning can advance plasmonic sensing technologies.
  • Reviewing current techniques in plasmonic sensing
  • Discussing AI/ML tools for design and analysis
  • Identifying applications benefiting from AI/ML integration
  • AI/ML tools can enhance sensor sensitivity and selectivity
  • Improved data analysis in plasmonic sensing experiments
  • AI/ML offers pathways for robust sensor design

Cite This Study

Geddis et al. (2026) studied this question.

synapsesocial.com/papers/69a1359eed1d949a99abfaachttps://doi.org/10.1039/d5cs01522g
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