HAL (France)
open access
Lead-free perovskite/HfSe2 surface plasmon resonance biosensor design via multi-metric optimization, Monte Carlo robustness analysis, and machine learning
Replacing toxic lead in perovskite-enhanced surface plasmon resonance (SPR) biosensors is critical for environmentally sustainable sensing, yet the performance of lead-free alternatives in multilayer architectures remains poorly characterized. We numerically investigate a lead-free perovskite/HfSe2
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The effect of Ti2C MXene on the performance of optical fiber-based surface plasmon resonance sensor towards lead detection#1318111
- Electrochemical Biosensor Based on Lectin-functionalized Nitrogen, Sulfur-doped Graphene Quantum Dot Decorated Gold Nanoparticles for Breast Cancer Diagnosis: From Academic Research to Clinical Translation#1164391
- Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides#422247
- The optical nose: Monolayer sensitization of Au surfaces for plasmonic gas sensing.#221615
- MXene-Based Optical Fiber Sensors for Chemical and Biosensing: Review and Perspectives.#375314
Record · ID 1459806
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive