Parameterisation of voltammetry in a machine learning environment

Project: Research

Status	Active
Effective start/end date	22/12/21 → 21/12/24

Establishing zone regions in cyclic voltammetry using unsupervised machine learning
Gundry, L., Kennedy, G., Bond, A. M. & Zhang, J., 1 Aug 2023, In: Journal of Electroanalytical Chemistry. 942, 15 p., 117551.
Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)
Advanced Spatiotemporal Voltammetric Techniques for Kinetic Analysis and Active Site Determination in the Electrochemical Reduction of CO₂
Guo, S. X., Bentley, C. L., Kang, M., Bond, A. M., Unwin, P. R. & Zhang, J., 1 Feb 2022, In: Accounts of Chemical Research. 55, 3, p. 241-251 11 p.
Research output: Contribution to journal › Article › Research › peer-review

28 Citations (Scopus)
Opportunities and challenges in applying machine learning to voltammetric mechanistic studies
Bond, A. M., Zhang, J., Gundry, L. & Kennedy, G. F., Aug 2022, In: Current Opinion in Electrochemistry. 34, 7 p., 101009.
Research output: Contribution to journal › Review Article › Research › peer-review

18 Citations (Scopus)

Project Details