MODELING OF TRANSITION TEMPERATURE FOR PULSED LASER DEPOSITION NdBa2Cu3O7-δ THIN FILMS VIA SUPPORT VECTOR REGRESSION

Abstract

NdBa 2 Cu 3 O 7-δ (NBCO) is a potential superconducting material for application as thin films because of its transition temperatures as high as 94 K as well as the smooth surface and excellent epitaxial quality. This study illustrates the application of the support vector regression (SVR) approach in modeling and predicting the transition temperature (T c ) of NBCO thin films fabricated via pulsed laser deposition (PLD). The model was trained and tested based on an experimental data set comprised of three depositing parameters, the pressure (p), temperature (T) and laser energy (E). The results reveal that the mean absolute error (0.22 K) achieved by leave-one-out cross validation test of SVR is smaller than that (0.68 K) achieved by multivariable nonlinear regression (MNR). An available maximum T c (92.0 K) deposited at an optimal condition for NBCO films is predicted by using the established SVR model. This investigation suggests that SVR may be a promising and practical methodology to accurately estimate the transition temperature for NBCO thin films deposited via PLD under various depositing conditions.