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

Reference53 articles.

1. Q.Chang , China lifts 770 million rural people out of poverty: white paper, https://en.people.cn/n3/2021/0414/c90000-9838854.html

2. Scientific method

3. Studies in heterogeneous equilibria. Part II.—The kinetic interpretation of the nernst theory of electromotive force

4. Zur Theorie der Wasserstoff Überspannung

5. On the Theory of Oxidation‐Reduction Reactions Involving Electron Transfer. I

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