Artificial neural network for predictive synthesis of single-walled carbon nanotubes by aerosol CVD method

Tutkimustuotos: Lehtiartikkeli

Tutkijat

Organisaatiot

  • Skolkovo Institute of Science and Technology

Kuvaus

We propose to use artificial neural networks to process the experimental data and to predict the performance of the aerosol CVD synthesis of single-walled carbon nanotubes based on Boudouard reaction. We employ five key input parameters of the growth (pressures of CO, CO2 and ferrocene as well as the residence time and the growth temperature) to control the performance of produced nanotube films (yield, mean and standard deviation of the diameter distribution, and defectiveness). The prediction errors were found to be comparable with the corresponding experimental errors. We believe the proposed approach is of great interest for the synthesis of nanocarbons with tailored characteristics.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut100-103
Sivumäärä4
JulkaisuCarbon
Vuosikerta153
TilaJulkaistu - 1 marraskuuta 2019
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 39597572