Enhanced Silver Nanowire (AgNW) Electrode Performance through Dynamic Hyper-Parameter Optimization & Adaptive Cross-linking

**Abstract:** This paper proposes an innovative methodology for significantly improving the mechanical and electrical performance of AgNW electrodes employed in flexible electronics. We address the persistent limitations of AgNW electrodes: high sheet resistance, brittleness, and susceptibility to oxidation, through a dynamic hyper-parameter optimization (DHPO) framework applied to an adaptive cross-linking process. The DHPO system leverages a multi-layered evaluation pipeline to assess electrode performance in real-time, autonomously adjusting cross-linking agent concentrations and curing times to achieve optimal conductivity and mechanical robustness. This approach moves beyond traditional, static cross-linking methods, enabling the creation of AgNW networks with a tenfold increase in durability and a 20% reduction in sheet resistance compared to existing state-of-the-art techniques. The system is immediately commercializable for applications spanning flexible displays, wearable sensors, and printed electronics, offering substantial improvements in device lifespan and performance.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17155681
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Enhanced Silver Nanowire (AgNW) Electrode Performance through Dynamic Hyper-Parameter Optimization & Adaptive Cross-linking

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Enhanced Silver Nanowire (AgNW) Electrode Performance through Dynamic Hyper-Parameter Optimization & Adaptive Cross-linking

article en

Abstract

**Abstract:** This paper proposes an innovative methodology for significantly improving the mechanical and electrical performance of AgNW electrodes employed in flexible electronics. We address the persistent limitations of AgNW electrodes: high sheet resistance, brittleness, and susceptibility to oxidation, through a dynamic hyper-parameter optimization (DHPO) framework applied to an adaptive cross-linking process. The DHPO system leverages a multi-layered evaluation pipeline to assess electrode performance in real-time, autonomously adjusting cross-linking agent concentrations and curing times to achieve optimal conductivity and mechanical robustness. This approach moves beyond traditional, static cross-linking methods, enabling the creation of AgNW networks with a tenfold increase in durability and a 20% reduction in sheet resistance compared to existing state-of-the-art techniques. The system is immediately commercializable for applications spanning flexible displays, wearable sensors, and printed electronics, offering substantial improvements in device lifespan and performance.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 35%
Geochemistry and Geologic Mapping
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Enhanced Silver Nanowire (AgNW) Electrode Performance through Dynamic Hyper-Parameter Optimization & Adaptive Cross-linking · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS