Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry

Pumidech Puthongkham, Supacha Wirojsaengthong and Akkapol Suea-Ngam

Analyst, 2021, 146, 6351
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Inclusion of multiple cycling of potential in the deep neural network classification of voltammetric reaction mechanisms

Luke Gundry, Gareth Kennedy, Alan M. Bond and Jie Zhang

Faraday Discuss., 2022, 233, 44
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Self-optimizing Bayesian for continuous flow synthesis process

Runzhe Liu, Zihao Wang, Wenbo Yang, Jinzhe Cao and Shengyang Tao

Digital Discovery, 2024, 3, 1958
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Machine-learning-guided design of electroanalytical pulse waveforms

Cameron S. Movassaghi, Katie A. Perrotta, Maya E. Curry, Audrey N. Nashner, Katherine K. Nguyen, Mila E. Wesely, Miguel Alcañiz Fillol, Chong Liu, Aaron S. Meyer and Anne M. Andrews

Digital Discovery, 2025, 4, 1812
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Intrinsic properties of nanoparticulate Ir-based catalysts for oxygen evolution reaction by AC voltammetry

Ožbej Vodeb, Anja Lončar, Marjan Bele, Armin Hrnjić, Primož Jovanovič, Miran Gaberšček and Nejc Hodnik

Electrochimica Acta, 2023, 464, 142882
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Understanding the Decamethylferrocene FeIII/IV Oxidation Process in Tris(pentafluoroethyl)trifluorophosphate-Containing Ionic Liquids at Glassy Carbon and Boron-Doped Diamond Electrodes

Miguel A. Gonzalvez, Luke Gundry, Laura Garcia-Quintana, Si-Xuan Guo, Alan M. Bond and Jie Zhang

Inorg. Chem., 2024, 63, 14103
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A multitask dynamically interconnected learning approach for physics-informed neural networks

Xiao Zhang and Shunbo Hu

Materials Today Communications, 2025, 47, 113054
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Current strategic development of single-atom electrocatalyst in sensor construction: A mini-review

Mohanraj Jagannathan and Sungbo Cho

Nano Materials Science, 2024, 6, 780
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Direct measurement of the oxygen reduction reaction kinetics on iron phthalocyanine using advanced transient voltammetry

Rifael Z. Snitkoff-Sol, Or Rimon, Alan M. Bond and Lior Elbaz

Nat Catal, 2024, 7, 139
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Quantifying the electrochemical active site density of precious metal-free catalysts in situ in fuel cells

Rifael Z. Snitkoff-Sol, Ariel Friedman, Hilah C. Honig, Yan Yurko, Alisa Kozhushner, Michael J. Zachman, Piotr Zelenay, Alan M. Bond and Lior Elbaz

Nat Catal, 2022, 5, 163
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Microelectrode-Based Sensor for Measuring Operando Active Species Concentrations in Redox Flow Cells

Bertrand J. Neyhouse, Kevin M. Tenny, Yet-Ming Chiang and Fikile R. Brushett

ACS Appl. Energy Mater., 2021, 4, 13830
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From materials discovery to system optimization by integrating combinatorial electrochemistry and data science

Helge S. Stein, Alexey Sanin, Fuzhan Rahmanian, Bojing Zhang, Monika Vogler, Jackson K. Flowers, Leon Fischer, Stefan Fuchs, Nirmal Choudhary and Lisa Schroeder

Current Opinion in Electrochemistry, 2022, 35, 101053
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The effect of chelators on additives in the surface characterization and electrochemical properties of an eco-friendly electroless copper nano deposition

Suseela Jayalakshmi, Raja Venkatesan, Simon Deepa, Alexandre A. Vetcher, Sabah Ansar and Seong-Cheol Kim

Sci Rep, 2023, 13
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Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry

Cameron S. Movassaghi, Miguel Alcañiz Fillol, Kenneth T. Kishida, Gregory McCarty, Leslie A. Sombers, Kate M. Wassum and Anne Milasincic Andrews

Anal. Chem., 2024, 96, 6097
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Leveraging graphical models to enhance in situ analyte identification via multiple voltammetric techniques

Alexis M. Fenton Jr. and Fikile R. Brushett

Journal of Electroanalytical Chemistry, 2023, 936, 117299
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Establishing zone regions in cyclic voltammetry using unsupervised machine learning

Luke Gundry, Gareth Kennedy, Alan M. Bond and Jie Zhang

Journal of Electroanalytical Chemistry, 2023, 942, 117551
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Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression

Cameron S. Movassaghi, Katie A. Perrotta, Hongyan Yang, Rahul Iyer, Xinyi Cheng, Merel Dagher, Miguel Alcañiz Fillol and Anne M. Andrews

Anal Bioanal Chem, 2021, 413, 6747
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Opportunities and challenges in applying machine learning to voltammetric mechanistic studies

Alan M. Bond, Jie Zhang, Luke Gundry and Gareth F. Kennedy

Current Opinion in Electrochemistry, 2022, 34, 101009
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AI-Based Discrimination of Faradaic Current against Nonfaradaic Current Inspired by Speech Denoising

Long Duong Ha and Seongpil Hwang

Anal. Chem., 2025, 97, 49
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Machine Learning for Estimating Electron Transfer Rates From Square Wave Voltammetry

Austen C. Adams, Sauraj Jha, David J. Lary and Jason D. Slinker

ChemPlusChem, 2022, 87
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Facilitating Electroactive Site Density Determination during Fuel‐Cell Testing

Rifael Z. Snitkoff‐Sol and Lior Elbaz

ChemElectroChem, 2025, 12
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Theory and highly accurate computation of nonlimiting chronoamperometric currents for theErevCirrreaction mechanism at cylindrical wire electrodes

L.K. Bieniasz

Journal of Electroanalytical Chemistry, 2021, 895, 115410
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Advanced Spatiotemporal Voltammetric Techniques for Kinetic Analysis and Active Site Determination in the Electrochemical Reduction of CO2

Si-Xuan Guo, Cameron L. Bentley, Minkyung Kang, Alan M. Bond, Patrick R. Unwin and Jie Zhang

Acc. Chem. Res., 2022, 55, 241
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Key requirements for advancing machine learning approaches in single entity electrochemistry

Viacheslav Shkirskiy and Frédéric Kanoufi

Current Opinion in Electrochemistry, 2024, 46, 101526
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Disruption Dynamics and Charge Transfer of a Single Attoliter Emulsion Droplet Revealed by Combined Fast-Scan Sinusoidal Voltammetry and Short Time Fourier Transform Analysis

Long Duong Ha, Heekyung Park, Thanh Duc Dinh, Jun Hui Park and Seongpil Hwang

Anal. Chem., 2024, 96, 18150
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Fourier-Transformed Alternating Current Voltammetry (FTacV) for Analysis of Electrocatalysts

Rifael Z. Snitkoff-Sol, Alan M. Bond and Lior Elbaz

ACS Catal., 2024, 14, 7576
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Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN)

Haotian Chen, Minjun Yang, Bedřich Smetana, Vlastimil Novák, Vlastimil Matějka and Richard G. Compton

Angew Chem Int Ed, 2024, 63
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Emerging trends on nanomaterial-based simultaneous electrochemical sensing of dopamine and acetaminophen

Arka Prava Roy, Arghya Chakravorty, Aarcha Appu Mini, Sudip Das, Mangaiyarkarasi Rajendiran and Vimala Raghavan

Results in Chemistry, 2024, 7, 101489
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An Autonomous Electrochemical Discovery Robot that Utilises Probabilistic Algorithms: Probing the Redox Behaviour of Inorganic Materials

Kristine Laws, Marcus Tze‐Kiat Ng, Abhishek Sharma, Yibin Jiang, Alexander J. S. Hammer and Leroy Cronin

ChemElectroChem, 2024, 11
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A Voltammetric Perspective of Multi-Electron and Proton Transfer in Protein Redox Chemistry: Insights From Computational Analysis of Escherichia coli HypD Fourier Transformed Alternating Current Voltammetry

Alister R. Dale-Evans, Martin J. Robinson, Henry O. Lloyd-Laney, David J. Gavaghan, Alan M. Bond and Alison Parkin

Front. Chem., 2021, 9
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A machine learning-based multimodal electrochemical analytical device based on eMoSx-LIG for multiplexed detection of tyrosine and uric acid in sweat and saliva

Vinay Kammarchedu, Derrick Butler and Aida Ebrahimi

Analytica Chimica Acta, 2022, 1232, 340447
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What and how can machine learning help to decipher mechanisms in molecular electrochemistry?

Jingwen Sun and Chong Liu

Current Opinion in Electrochemistry, 2023, 39, 101306
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Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN)

Haotian Chen, Minjun Yang, Bedřich Smetana, Vlastimil Novák, Vlastimil Matějka and Richard G. Compton

Angewandte Chemie, 2024, 136
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Redox-Detecting Deep Learning for Mechanism Discernment in Cyclic Voltammograms of Multiple Redox Events

Benjamin B. Hoar, Weitong Zhang, Yuanzhou Chen, Jingwen Sun, Hongyuan Sheng, Yucheng Zhang, Yisi Chen, Jenny Y. Yang, Cyrille Costentin, Quanquan Gu and Chong Liu

ACS Electrochem., 2025, 1, 52
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While educating electrochemists, do not forget we live in a computer era

L. K. Bieniasz

J Solid State Electrochem, 2024, 28, 911
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A Comparison of Bayesian Inference Strategies for Parameterisation of Large Amplitude AC Voltammetry Derived from Total Current and Fourier Transformed Versions

Luke Gundry, Gareth Kennedy, Jonathan Keith, Martin Robinson, David Gavaghan, Alan M. Bond and Jie Zhang

ChemElectroChem, 2021, 8, 2238
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Electrochemical Mechanistic Analysis from Cyclic Voltammograms Based on Deep Learning

Benjamin B. Hoar, Weitong Zhang, Shuangning Xu, Rana Deeba, Cyrille Costentin, Quanquan Gu and Chong Liu

ACS Meas. Sci. Au, 2022, 2, 595
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Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Aleksei Makogon, Frederic Kanoufi and Viacheslav Shkirskiy

ChemElectroChem, 2024, 11
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Using voltammetry augmented with physics-based modeling and Bayesian hypothesis testing to identify analytes in electrolyte solutions

Alexis M. Fenton Jr. and Fikile R. Brushett

Journal of Electroanalytical Chemistry, 2022, 904, 115751
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ElectroKitty: A Python Tool for Modeling Electrochemical Data Including Non-Langmuir Adsorption

Ožbej Vodeb, Pedro Farinazzo Bergamo Dias Martins, Dušan Strmčnik, Nejc Hodnik and Miran Gaberšček

ACS Electrochem., 2025, 1, 1540
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Practical Guide to Large Amplitude Fourier-Transformed Alternating Current Voltammetry─What, How, and Why

Natalia G. Baranska, Bryn Jones, Mark R. Dowsett, Chris Rhodes, Darrell M. Elton, Jie Zhang, Alan M. Bond, David Gavaghan, Henry O. Lloyd-Laney and Alison Parkin

ACS Meas. Sci. Au, 2024, 4, 418
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Efficient and highly accurate calculation of chronoamperometric currents for the CrevErev and ErevCrev reaction mechanisms at planar, spherical, and cylindrical electrodes

L.K. Bieniasz

Electrochimica Acta, 2023, 443, 141894
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Machine learning in fundamental electrochemistry: Recent advances and future opportunities

Haotian Chen, Enno Kätelhön and Richard G. Compton

Current Opinion in Electrochemistry, 2023, 38, 101214
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Applying Machine Learning to Predict Electron Transfer Kinetics from Voltammetry Experiments

Austen C. Adams, Melodee O. Seifi, Ashan P. Wettasinghe and Jason D. Slinker

ChemPlusChem, 2025, 90
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Closed-Loop Navigation of a Kinetic Zone Diagram for Redox-Mediated Electrocatalysis Using Bayesian Optimization, a Digital Twin, and Automated Electrochemistry

Michael A. Pence, Gavin Hazen and Joaquín Rodríguez-López

Anal. Chem., 2025, 97, 6771
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Theoretical-experimental synergy towards better understanding of interfacial electron transfer kinetics

Eduardo Laborda

Current Opinion in Electrochemistry, 2022, 34, 101028
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Active Knowledge Extraction from Cyclic Voltammetry

Kiran Vaddi and Olga Wodo

Energies, 2022, 15, 4575
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SeroWare: An Open-Source Software Suite for Voltammetry Data Acquisition and Analysis

Cameron S. Movassaghi, Rahul Iyer, Maya E. Curry, Mila E. Wesely, Miguel Alcañiz Fillol and Anne M. Andrews

ACS Chem. Neurosci., 2025, 16, 856
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Pattern recognition assisted linear sweep voltammetry sensor for analysis of tea quality

Pei Wei and Zheng Wang

International Journal of Electrochemical Science, 2023, 18, 100275
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Quantitative analysis of the electrochemical performance of multi-redox molecular electrocatalysts. A mechanistic study of chlorate electrocatalytic reduction in presence of a molybdenium polyoxometalate

Joaquin Gonzalez, Esteban Guillen, Eduardo Laborda and Angela Molina

Journal of Catalysis, 2022, 413, 467
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Integral equation-based simulation of transient experiments for an EC2 mechanism: Beyond the steady state simplification

Lesław K. Bieniasz, Michael Vynnycky and Sean McKee

Electrochimica Acta, 2022, 428, 140896
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Modeling ionic conductivity and activation energy in garnet-structured solid electrolytes: The role of composition, grain boundaries and processing

Natalia V. Kireeva, Aslan Yu. Tsivadze and Vladislav S. Pervov

Solid State Ionics, 2023, 399, 116293
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