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RESEARCH PAPER · Current Opinion in Electrochemistry · 2024

Key requirements for advancing machine learning approaches in single entity electrochemistry

Viacheslav Shkirskiy, Frédéric Kanoufi

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9 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Key requirements for advancing machine learning approaches in single entity electrochemistryOriginalElucidating the structure–activity relationship on single entities by scanning electrochemical cell microscopy9Multimodal nanoparticle analysis enabled by a polymer electrolyte nanopore combined with nanoimpact electrochemistry4DNA-programmable nano-impact electrochemistry: from principles to bioanalytical applications1In-situ high-throughput nanoelectrochemistry for battery characterization4Structural design of cellulose derivative-modified chitosan adsorbents for arsenic removal: Machine learning modeling, Box-Behnken design, Optuna hyperparameter tuning, and molecular dynamics11Harnessing instrumentation and artificial intelligence for new insights and applications in single-entity electrochemistry4AI driven electrochemical interface design: Development and economic evaluation of low-cost electrode materials based on the 'structure-activity consumption' model6Single-Entity Electrochemistry for Analytical Chemistry: Moving Towards the Limits of Detecting Single Molecules and Single Cells0Data-Driven Framework for Correlative SECCM–SEM Analysis During Electrodeposition1

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  1. Elucidating the structure–activity relationship on single entities by scanning electrochemical cell microscopy

    Current Opinion in Electrochemistry · 2024-06-26

    Yanqi Zou, Qianjin Chen

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  2. Multimodal nanoparticle analysis enabled by a polymer electrolyte nanopore combined with nanoimpact electrochemistry

    Faraday Discussions · 2024-07-22

    Eugene Gyasi Agyemang, Samuel Confederat, Gayathri Mohanan, Mahnaz Azimzadeh Sani, Chalmers Chi Cheng Chau, Dylan Charnock, Ch. Wälti, Kristina Tschulik, Martin Andrew Edwards, Paolo Actis

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  3. DNA-programmable nano-impact electrochemistry: from principles to bioanalytical applications

    Chemical Communications · 2025-01-01

    Qiong Di Wu, Di Sun, Chaoxing Chen, Jinhua Shang, Feifei Hu, Fuan Wang

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  4. In-situ high-throughput nanoelectrochemistry for battery characterization

    Current Opinion in Electrochemistry · 2025-05-03

    Si‐Min Lu, Jean‐François Lemineur, Jean‐Marc Noël, Frédéric Kanoufi

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  5. Structural design of cellulose derivative-modified chitosan adsorbents for arsenic removal: Machine learning modeling, Box-Behnken design, Optuna hyperparameter tuning, and molecular dynamics

    Biochemical Engineering Journal · 2025-05-20

    Mohammad Khajavian, Suzylawati Binti Ismail, Javad Esmaeili

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  6. Harnessing instrumentation and artificial intelligence for new insights and applications in single-entity electrochemistry

    Current Opinion in Electrochemistry · 2025-06-16

    Gabriel Gemadzie, Peter McPike, Aliaksei Boika

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  7. AI driven electrochemical interface design: Development and economic evaluation of low-cost electrode materials based on the 'structure-activity consumption' model

    Journal of environmental chemical engineering · 2025-11-01

    Tingfa Zhou, Peng Gui, Chao Hu, Weihua Xiao, Dong Liu, Zhiping Wang

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  8. Single-Entity Electrochemistry for Analytical Chemistry: Moving Towards the Limits of Detecting Single Molecules and Single Cells

    Chemosensors · 2026-07-03

    Li Fu, Fei Chen, Yanfei Lv, Shichao Zhao, Cheng‐Te Lin

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  9. Data-Driven Framework for Correlative SECCM–SEM Analysis During Electrodeposition

    Analytical Chemistry · 2026-08-01

    Souheil Mourtada, Suzanne Delfosse, Daniel Torres, Alexey P. Leontiev, Jon Ustarroz

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