Neural Network Modelling for Prediction of Zeta Potential
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F21%3AA2202BOF" target="_blank" >RIV/61988987:17310/21:A2202BOF - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2227-7390/9/23/3089" target="_blank" >https://www.mdpi.com/2227-7390/9/23/3089</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/math9233089" target="_blank" >10.3390/math9233089</a>
Alternative languages
Result language
angličtina
Original language name
Neural Network Modelling for Prediction of Zeta Potential
Original language description
The study is focused on monitoring the influence of selected parameters on the zeta potential values of titanium dioxide nanoparticles. The influence of pH, temperature, ionic strength, and mass content of titanium dioxide in the suspension was assessed. More than a thousand samples were measured by combining these variables. On the basis of results, the model of artificial neural network was proposed and tested. The authors have rich experiences with neural networks applications and this case shows that the neural network model works with a very high prediction success rate of zeta potential. Clearly, pH has the greatest effect on zeta potential values. The influence of other variables is not so significant. However, it can be said that increasing temperature results in an increase in the value of the zeta potential of titanium dioxide nanoparticles. The ionic force affects the zeta potential depending on the pH; in the vicinity of the isoelectric point, its effect is negligible. The effect of the mass content of titanium dioxide in the suspension is absolutely minor.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematics
ISSN
2227-7390
e-ISSN
2227-7390
Volume of the periodical
9
Issue of the periodical within the volume
23
Country of publishing house
CH - SWITZERLAND
Number of pages
13
Pages from-to
3089-3111
UT code for WoS article
000734544200001
EID of the result in the Scopus database
2-s2.0-85120413557