ArticleJournal of materials chemistry. B2023
Poisson-Nernst-Planck framework for modelling ionic strain and temperature sensors.
Article in Journal of materials chemistry. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Self-Driven Hybrid Piezomagnetic-Iontronic Mechanoreceptors for Bimodal SA/RA Perception and Tactile Synthesis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Three-Dimensional PNP-FEM of a Layered IPMC Artificial Skin Under Finger-like Sliding for Robotic Tactile Interfaces.Sensors (Basel, Switzerland) · 2026Article
- Crumpled Ti₃C₂Tₓ MXene electrodes with tunable surface chemistry for high-performance and selective electrochemical biosensing.Scientific reports · 2026Article
- Nonlocal Response in Electrolytic Cells: A Generalized Poisson-Nernst-Planck Model with Memory Effects.The journal of physical chemistry. B · 2026Article
- Smart Polymer-Derived Injectable Hydrogels: Current Status and Future Perspectives.ACS polymers Au · 2025Review
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Authors and funding
4 authors.
Funding
Abstract
Ionically conductive hydrogels are gaining traction as sensing and structural materials for use bioelectronic devices. Hydrogels that feature large mechanical compliances and tractable ionic conductivities are compelling materials that can sense physiological states and potentially modulate the stimulation of excitable tissue because of the congruence in electro-mechanical properties across the tissue-material interface. However, interfacing ionic hydrogels with conventional DC voltage-based circuits poses several technical challenges including electrode delamination, electrochemical reaction, and drifting contact impedance. Utilizing alternating voltages to probe ion-relaxation dynamics has been shown to be a viable alternative for strain and temperature sensing. In this work, we present a Poisson-Nernst-Planck theoretical framework to model ion transport under alternating fields within conductors subject to varying strains and temperatures. Using simulated impedance spectra, we develop key insights about the relationship between frequency of the applied voltage perturbation and sensitivity. Lastly, we perform preliminary experimental characterization to demonstrate the applicability of the proposed theory. We believe this work provides a useful perspective that is applicable to the design of a variety of ionic hydrogel-based sensors for biomedical and soft robotic applications.
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