The application of physics-informed neural networks to hydrodynamic voltammetry-Reference-Cited by-同舟云学术

The application of physics-informed neural networks to hydrodynamic voltammetry

Published:2022 Issue:9 Volume:147 Page:1881-1891
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Chen Haotian¹^ORCID,Kätelhön Enno²,Compton Richard G.¹^ORCID

Affiliation:

1. Department of Chemistry, Oxford University, South Parks Road, Oxford OX1 3QZ, UK

2. MHP Management-und IT-Beratung GmbH, Königsallee 49, 71638 Ludwigsburg, Germany

Abstract

Electrochemical problems are widely studied in flowing systems since the latter offer improved sensitivity notably for electro-analysis and the possibility of steady-state measurements for fundamental studies even with macro-electrodes.

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AN/D2AN00456A

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