Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry-Reference-Cited by-同舟云学术

Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry

Published:2021 Issue:15 Volume:57 Page:1855-1870
ISSN:1359-7345
Container-title:Chemical Communications
language:en
Short-container-title:Chem. Commun.

Author:

Gundry Luke¹²³⁴,Guo Si-Xuan¹²³⁴,Kennedy Gareth¹²³⁴,Keith Jonathan⁵²³⁴,Robinson Martin⁶⁷⁸⁹¹⁰,Gavaghan David⁶⁷⁸⁹¹⁰,Bond Alan M.¹²³⁴^ORCID,Zhang Jie¹²³⁴^ORCID

Affiliation:

1. School of Chemistry

2. Monash University

3. Clayton

4. Australia

5. School of Mathematics

6. Department of Computer Science

7. University of Oxford

8. Wolfson Building

9. Oxford

10. UK

Abstract

Advanced data analysis tools such as mathematical optimisation, Bayesian inference and machine learning have the capability to revolutionise the field of quantitative voltammetry.

Funder

Australian Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2021/CC/D0CC07549C

Reference120 articles.

1. Electrochemical Technologies for Energy Storage and Conversion , ed. R.-S. Liu , L. Zhang , X. Sun , H. Liu and J. Zhang , Wiley-VCH Verlag GmbH & Co. KGaA , 2011

2. X. Zhang , H.Ju and J.Wang , Electrochemical Sensors, Biosensors and their Biomedical Applications , Elsevier , 2008

3. A. J. Bard and L. R.Faulkner , Electrochemical Methods , John Wiley & Sons Inc , 2000

4. A. M. Bond , Broadening electrochemical horizons: principles and illustration of voltammetric and related techniques , Oxford University Press , Oxford New York , 2002

5. R. G. Compton and C. E.Banks , Understanding Voltammetry , Imperial College Press , 2010

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Key requirements for advancing machine learning approaches in single entity electrochemistry;Current Opinion in Electrochemistry;2024-08

2. Understanding the Decamethylferrocene Fe^III/IV Oxidation Process in Tris(pentafluoroethyl)trifluorophosphate-Containing Ionic Liquids at Glassy Carbon and Boron-Doped Diamond Electrodes;Inorganic Chemistry;2024-07-12

3. Current strategic development of single-atom electrocatalyst in sensor construction: A mini-review;Nano Materials Science;2024-07

4. Practical Guide to Large Amplitude Fourier-Transformed Alternating Current Voltammetry─What, How, and Why;ACS Measurement Science Au;2024-05-07

5. Fourier-Transformed Alternating Current Voltammetry (FTacV) for Analysis of Electrocatalysts;ACS Catalysis;2024-05-01