Towards predicting the piezoelectricity and physiochemical properties of the electrospun P(VDF-TrFE) nanogenrators using an artificial neural network

Abolhasani, Mohammad Mahdi, Shirvanimoghaddam, Kamyar, Khayyam, Hamid, Moosavi, Seyed Masoud, Zohdi, Nima and Naebe, Minoo 2018, Towards predicting the piezoelectricity and physiochemical properties of the electrospun P(VDF-TrFE) nanogenrators using an artificial neural network, Polymer Testing, vol. 66, pp. 178-188, doi: 10.1016/j.polymertesting.2018.01.010.

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Title Towards predicting the piezoelectricity and physiochemical properties of the electrospun P(VDF-TrFE) nanogenrators using an artificial neural network
Author(s) Abolhasani, Mohammad Mahdi
Shirvanimoghaddam, Kamyar
Khayyam, Hamid
Moosavi, Seyed Masoud
Zohdi, Nima
Naebe, MinooORCID iD for Naebe, Minoo orcid.org/0000-0002-0607-6327
Journal name Polymer Testing
Volume number 66
Start page 178
End page 188
Total pages 11
Publisher Elsevier
Place of publication London, Eng.
Publication date 2018-04-01
ISSN 0142-9418
1873-2348
Keyword(s) nanogenerator
piezoelectricity
artificial neural network
nanofibre
science & technology
technology
physical sciences
materials science - characterization & testing
polymer science
materials science
poly(vinylidene fluoride) nanofibers
response-surface methodology
strengthening mechanisms
ferroelectric properties
PVDF nanocomposites
process parameters
carbon nanofibers
polymer melts
diameter
optimization
Language eng
DOI 10.1016/j.polymertesting.2018.01.010
Field of Research 0303 Macromolecular And Materials Chemistry
0912 Materials Engineering
0913 Mechanical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106332

Document type: Journal Article
Collection: Institute for Frontier Materials
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