journal article·2026-03Open access

Leveraging Electrochemical Diversity in Engineering Liquid‐State Ionic Devices for Neuromorphic Computing

Yechan Noh, Alex Smolyanitsky

Small· Volume 22· Issue 16

Abstract

ABSTRACT Implementing the brain's electrochemical principles in liquid‐state ionic devices for neuromorphic computing has gained notable momentum. A unique advantage of such devices is the abundance of ions and molecular species available for electrochemical signaling. In this work, we demonstrate that electrochemical diversity translates into functional diversity within the barrier‐limited transport regime, a phenomenon not captured by classical diffusion transport. Using molecular dynamics simulations, we investigate multi‐ionic transport through Ångström‐scale pores and reveal diverse behaviors, including voltage‐inactivated transport, electrochemical pulse generation, and synaptic potentiation. The resulting design space scales exponentially with the number of ion species, as , yielding an astronomically large number given the existence of more than 100 known ionic species. Our work highlights an extensive, unexplored design space of electrochemical computing devices occurring in the barrier‐limited transport regime.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Quantum-Dot Cellular Automata

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Applied Chemicals and Materials Division National Institute of Standards and Technology Boulder USA

Department of Physics University of Colorado Boulder Boulder USA

Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame USA

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