Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Electrochemical Systems

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Sulfur-Substituted SAMs Induce Pb─S Antibonding Hybridization for Efficient and Durable Perovskite-Silicon Tandems.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Non-Fullerene Acceptor Photo-Charge Enabled Stretchable Photovoltaic Robustness Under 90% Tensile Strain and 30% Strain Cycles.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Delayed cation dynamics enables dual-doped organic electrochemical transistors with high current sensitivity.

Nature communications·2026

Same author

Convergent evolutionary shifts in AGT targeting between mitochondria and peroxisomes across mammal transitions to herbivory.

Nature communications·2026

Same author

Biomimetic Electrochemical Chip Integrated with Closed-Loop AI for Dynamic Dopamine Decoding and Neuromodulation.

ACS sensors·2026

Same author

Piezotronic probe modulates the piezoelectric-electric-thermal coupling field in GaN power electronics.

Nanoscale horizons·2026

Same journal

Zein-Ceria Hybrid Microparticles Enable Long-Term ROS-Scavenging Oxygenation for Osteogenic Microtissues Engineering.

Advanced materials (Deerfield Beach, Fla.)·2026

Same journal

Toward Practical Solid-State Lithium Batteries With High-Nickel Cathodes: An Interface-Centered Perspective.

Advanced materials (Deerfield Beach, Fla.)·2026

Same journal

A Planarity-Hindrance Co-Balance Strategy to Develop Antiparallel H-Aggregates With Minimal Absorbance Blueshift for Type I Photodynamic Therapy.

Advanced materials (Deerfield Beach, Fla.)·2026

Same journal

Exceptional Rare-Earth Half-Heusler Thermoelectrics With Sublattice Softening.

Advanced materials (Deerfield Beach, Fla.)·2026

Same journal

Co-Assembled Hybrid Interlayer Engineering for Enhanced Upper Interface Stability in Inverted Perovskite Solar Cells.

Advanced materials (Deerfield Beach, Fla.)·2026

Same journal

Impact-Resistant Hydrogels Via Quaternary Ammonium-Regulated Networks.

Advanced materials (Deerfield Beach, Fla.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 8, 2026

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Organic Electrochemical Random Access Memory: From Bio-Inspired to Bio-Integrated.

Shijie Wang¹, Bingjun Wang¹, Xinru Teng¹

¹State Key Laboratory For Mechanical Behavior of Materials, Xi'an Jiaotong University (XJTU), Xi'an, Shaanxi, P. R. China.

Advanced Materials (Deerfield Beach, Fla.)

|December 30, 2025

Summary

This summary is machine-generated.

Organic electrochemical random-access memory (OECRAM) devices mimic biological synapses for advanced neuromorphic computing. These bio-integrated systems offer new possibilities for neural repair and wearable healthcare applications.

Keywords:

artificial nerve bio‐electronic hybrid synapse bio‐integration neural network organic semiconductors random‐access memory

More Related Videos

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

Published on: January 31, 2025

Related Experiment Videos

Last Updated: May 8, 2026

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

Published on: January 31, 2025

Area of Science:

Materials Science
Neuroscience
Electronics Engineering

Background:

Organic electrochemical random-access memory (OECRAM) devices mimic biological synapses.
They leverage organic semiconductors and ionic conductors for bio-integrated applications.
OECRAMs offer wet operation, organic composition, low-voltage use, flexibility, and multimodal sensing-memory.

Purpose of the Study:

To review the fundamental mechanisms, device parameters, and material innovations in OECRAMs.
To highlight challenges and explore application frontiers for bio-integrated OECRAMs.
To identify key opportunities for OECRAMs in neural repair and healthcare.

Main Methods:

Review of recent advances in OECRAM material, device, and system design.
Analysis of fundamental mechanisms and determining factors for device parameters.
Exploration of current and future applications of bio-integrated OECRAMs.

Main Results:

OECRAMs exhibit synaptic plasticity, enabling seamless integration with biological systems.
Advances in materials and design unlock applications in neural repair, biohybrid interfaces, and wearable healthcare.
Key opportunities include implantable artificial nerves, bioelectronic hybrid synapses, and multimodal edge-computing systems.

Conclusions:

OECRAMs represent a promising bio-integrated hardware for neuromorphic computing.
Future directions focus on transitioning OECRAMs from prototypes to clinical and industrial realities.
Applications in neural function restoration, specific sensing, and real-time disease diagnosis are outlined.