| Machine learning in fundamental electrochemistry: Recent advances and future opportunities H Chen, E Kätelhön, RG Compton Current Opinion in Electrochemistry 38, 101214, 2023 | 23 | 2023 |
| Predicting voltammetry using physics-informed neural networks H Chen, E Katelhon, RG Compton The Journal of Physical Chemistry Letters 13 (2), 536-543, 2022 | 20 | 2022 |
| Use of artificial intelligence in electrode reaction mechanism studies: Predicting voltammograms and analyzing the dissociative CE reaction at a hemispherical electrode H Chen, E Kätelhön, H Le, RG Compton Analytical Chemistry 93 (39), 13360-13372, 2021 | 16 | 2021 |
| Super-Nernstian Tafel slopes: An origin in coupled homogeneous kinetics H Chen, JR Elliott, H Le, M Yang, RG Compton Journal of Electroanalytical Chemistry 869, 114185, 2020 | 15 | 2020 |
| Sub-and super-Nernstian Tafel slopes can result from reversible electron transfer coupled to either preceding or following chemical reaction H Chen, RG Compton Journal of Electroanalytical Chemistry 880, 114942, 2021 | 13 | 2021 |
| A critical evaluation of using physics-informed neural networks for simulating voltammetry: strengths, weaknesses and best practices H Chen, C Batchelor-McAuley, E Kätelhön, J Elliott, RG Compton Journal of Electroanalytical Chemistry 925, 116918, 2022 | 11 | 2022 |
| Non-unity stoichiometric reversible electrode reactions. The effect of coupled kinetics and the oxidation of bromide H Chen, AKS Kumar, H Le, RG Compton Journal of Electroanalytical Chemistry 876, 114730, 2020 | 11 | 2020 |
| Experimental voltammetry analyzed using artificial intelligence: thermodynamics and kinetics of the dissociation of acetic acid in aqueous solution H Chen, D Li, E Katelhon, R Miao, RG Compton Analytical Chemistry 94 (15), 5901-5908, 2022 | 6 | 2022 |
| The application of physics-informed neural networks to hydrodynamic voltammetry H Chen, E Kätelhön, RG Compton Analyst 147 (9), 1881-1891, 2022 | 6 | 2022 |
| High-Throughput Surface-Enhanced Raman Scattering for Screening Chemical Sensor Candidates Enabled by Bipolar Electrochemistry S Fan, X Wang, Y Li, X Chen, H Chen, ZD Schultz, Z Li ACS sensors 7 (5), 1431-1438, 2022 | 4 | 2022 |
| Rotating Disk Electrodes beyond the Levich Approximation: Physics-Informed Neural Networks Reveal and Quantify Edge Effects H Chen, E Kätelhön, RG Compton Analytical Chemistry 95 (34), 12826-12834, 2023 | 3 | 2023 |
| AI facilitated fluoro-electrochemical phytoplankton classification H Chen, S Barton, M Yang, REM Rickaby, HA Bouman, RG Compton Chemical Science 14 (22), 5872-5879, 2023 | 2 | 2023 |
| A novel fluoro‐electrochemical technique for classifying diverse marine nanophytoplankton S Barton, M Yang, H Chen, C Batchelor‐McAuley, RG Compton, ... Limnology and Oceanography: Methods 21 (11), 656-672, 2023 | 1 | 2023 |
| Reversible Cyclic Voltammetry and Non-Unity Stoichiometry: The Ag/AgBr/Br– Redox Couple H Chen, Y Chen, RG Compton Analytical Chemistry 95 (2), 1663-1670, 2022 | 1 | 2022 |
| Inside Cover: Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN)(Angew. Chem. Int. Ed. 13/2024) H Chen, M Yang, B Smetana, V Novák, V Matějka, RG Compton Angewandte Chemie International Edition 63 (13), e202402855, 2024 | | 2024 |
| Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN) H Chen, M Yang, B Smetana, V Novák, V Matějka, RG Compton Angewandte Chemie, e202315937, 2024 | | 2024 |
| Electrodes modified with thin films: Distinguishing between membrane and pinhole diffusion using machine learning H Chen, L Wang, F Marken, RG Compton Journal of Electroanalytical Chemistry 936, 117390, 2023 | | 2023 |
| Computational electrochemistry H Chen University of Oxford, 2022 | | 2022 |
| Supporting Information for “AI Facilitated Fluoro-Electrochemical Phytoplankton Classification” H Chen, S Barton, M Yang, REM Rickaby, HA Bouman, RG Compton | | |
Enno KätelhönUniversity of OxfordVerified email at chem.ox.ac.uk
