Journal article icon

Journal article

Use of Bayesian inference for parameter recovery in DC and AC voltammetry

Abstract:

We describe the use of Bayesian inference for quantitative comparison of voltammetric methods for investigating electrode kinetics. We illustrate the utility of the approach by comparing the information content in both DC and AC voltammetry at a planar electrode for the case of a quasi-reversible one electron reaction mechanism. Using synthetic data (i. e. simulated data based on Butler-Volmer electrode kinetics for which the true parameter values are known and to which realistic levels of si...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

Actions


Access Document


Files:
Publisher copy:
10.1002/celc.201700678

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
New College
ORCID:
0000-0001-8311-3200
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
ORCID:
0000-0001-6009-3542
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
MPLS Doctoral Training Centre
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Expand authors...
Publisher:
Wiley Publisher's website
Journal:
ChemElectroChem Journal website
Volume:
5
Issue:
6
Pages:
917-935
Publication date:
2017-09-08
Acceptance date:
2017-09-08
DOI:
EISSN:
2196-0216
Pubs id:
pubs:742103
URN:
uri:845343ec-92d0-4675-9f0b-e11d3ac4e3ba
UUID:
uuid:845343ec-92d0-4675-9f0b-e11d3ac4e3ba
Local pid:
pubs:742103

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP