[1]
Y.-S. Choi, Y.-H. Yoo, J.-G. Kim, and S.-H. Kim, A comparison of the corrosion resistance of Cu–Ni–stainless steel multilayers used for EMI shielding,, Surface and Coatings Technology, vol. 201, no. 6, pp.3775-3782, (2006).
DOI: 10.1016/j.surfcoat.2006.03.040
Google Scholar
[2]
W. Feng et al., Ti 3 C 2 MXene: a promising microwave absorbing material,, RSC advances, vol. 8, no. 5, pp.2398-2403, (2018).
Google Scholar
[3]
F. Shahzad et al., Electromagnetic interference shielding with 2D transition metal carbides (MXenes),, Science, vol. 353, no. 6304, pp.1137-1140, (2016).
DOI: 10.1126/science.aag2421
Google Scholar
[4]
G. Deysher et al., Synthesis of Mo4VAlC4 MAX phase and two-dimensional Mo4VC4 MXene with five atomic layers of transition metals,, ACS nano, vol. 14, no. 1, pp.204-217, (2019).
DOI: 10.1021/acsnano.9b07708.s001
Google Scholar
[5]
M. Sokol, V. Natu, S. Kota, and M. W. Barsoum, On the chemical diversity of the MAX phases,, Trends in Chemistry, vol. 1, no. 2, pp.210-223, (2019).
DOI: 10.1016/j.trechm.2019.02.016
Google Scholar
[6]
B. Zazoum, E. David, and A. D. Ngo, Simulation and modeling of polyethylene/clay nanocomposite for dielectric application,, Transactions on electrical and electronic materials, vol. 15, no. 4, pp.175-181, (2014).
DOI: 10.4313/teem.2014.15.4.175
Google Scholar
[7]
B. Zazoum and A. Bachri, Deep Neural Network for Dielectric Properties Prediction of PVDF/BaTiO3 Nanocomposites for Flexible Capacitors,, Materials Science Forum, vol. 1023, pp.37-42, 2021,.
DOI: 10.4028/www.scientific.net/msf.1023.37
Google Scholar
[8]
R.M. Balabin and E.I. Lomakina, Support vector machine regression (SVR/LS-SVM)-an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data,, Analyst, vol. 136, no. 8, pp.1703-1712, (2011).
DOI: 10.1039/c0an00387e
Google Scholar
[9]
M. Naguib, V. N. Mochalin, M. W. Barsoum, and Y. Gogotsi, 25th Anniversary Article: MXenes: A New Family of Two-Dimensional Materials,, Advanced Materials, vol. 26, no. 7, pp.992-1005, 2014, doi: https://doi.org/10.1002/adma.201304138.
DOI: 10.1002/adma.201304138
Google Scholar
[10]
V. Vapnik, S. E. Golowich, and A. J. Smola, Support vector method for function approximation, regression estimation and signal processing,, in Advances in neural information processing systems, 1997, pp.281-287.
Google Scholar
[11]
V. Vapnik and V. Vapnik, Statistical learning theory Wiley,, New York, vol. 1, p.624, (1998).
Google Scholar
[12]
K. Rajavel et al., 2D Ti3C2Tx MXene/polyvinylidene fluoride (PVDF) nanocomposites for attenuation of electromagnetic radiation with excellent heat dissipation,, Composites Part A: Applied Science and Manufacturing, vol. 129, p.105693, 2020/02/01/ 2020, doi: https://doi.org/10.1016/j.compositesa.2019.105693.
DOI: 10.1016/j.compositesa.2019.105693
Google Scholar
