ArticleCommunications engineering2025
Toward an ion-based large-scale integrated circuit: design, simulation, and integration.
Article in Communications engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
Iontronics combines ions as information carriers with electronic-like operations, enabling the creation of ion-based integrated circuits that offer unique signal processing, chemical regulation, and enhanced bio-integrability. Existing simulation tools encounter difficulties in effectively modeling integrated iontronic components, highlighting the need for specialized design and simulation methodologies. Here we present a design approach toward ion-based large-scale integrated circuits, inspired by electronic integrated circuit abstraction levels. We develop a compact model for the iontronic bipolar diode, with a conceptual framework applicable to other iontronic components. The model is implemented using standard Electronic Design Automation tools, allowing simulation of static and dynamic properties of iontronic circuits. Simulated results match measurements from fabricated small-scale iontronic circuits. The proposed simulation approach employs Monte Carlo methodology and enables exploration of how component non-uniformity influences circuit behavior. We demonstrate the model's utility by simulating ion-based integrated circuits, including an iontronic decoder and diode bridge. Expanding traditional circuit design tools to support iontronics could advance the development of hybrid systems that leverage both electronic and ionic functionalities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.