University Research
Harnessing Instrumentation and Artificial Intelligence for New Insights and Applications in Single-Entity Electrochemistry
Academic department
Department of Chemistry
Description
The field of single-entity electrochemistry (SEE) has rapidly evolved, driven by innovative advancements in instrumentation, sophisticated data analysis powered by artificial intelligence (AI) and machine learning (ML), and an expanding range of applications across multiple disciplines. This review highlights significant recent progress in instrument developments that enhance the spatial and temporal resolution of SEE measurements, as well as data analysis employing AI methodologies to improve the processing, interpretation, and accuracy of complex electrochemical datasets. Additionally, we provide an overview of impactful recent applications of SEE in energy storage, catalysis, environmental monitoring, and biosensing, demonstrating the critical importance and transformative potential of single-entity measurements. By integrating advanced instrumentation with powerful data analytical frameworks, SEE continues to reveal unique insights at the nanoscale, bridging fundamental electrochemical research and practical applications.
Publisher name
Elsevier
Document Type
Article
Digital Object Identifier (DOI) Link
https://doi.org/10.1016/j.coelec.2025.101724
Publication Date
6-16-2025
Publication Title
Current Opinion in Electrochemistry
Volume
52
First Page
1
Last Page
11
Recommended Citation
Boika, Aliaksei; Gemadzie, Gabriel; and McPike, Peter, "Harnessing Instrumentation and Artificial Intelligence for New Insights and Applications in Single-Entity Electrochemistry" (2025). University Research. 12.
10.1016/j.coelec.2025.101724
https://ideaexchange.uakron.edu/university_research/12
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.