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Updated: May 26, 2025

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
Published on: March 20, 2015
AI in SERS sensing moving from discriminative to generative
Steven M Quarin1, Der Vang1, Ruxandra I Dima1
1Department of Chemistry, University of Cincinnati, Cincinnati, OH USA.
Abstract:
This perspective discusses the present and future role of artificial intelligence (AI) and machine learning (ML) in surface-enhanced Raman scattering (SERS) sensing. Our goal is to guide the reader through current applications, mainly focused on discriminative approaches aimed at developing new and improved SERS diagnostic capabilities, towards the future role of AI in SERS sensing, with the use of generative approaches to design new materials and biomaterials.
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