Hiremath, P.; Bhat, S.K.; K., J.P.; Rao, P.K.; Ambiger, K.D.; B. R. N., M.; Shetty, S.V.U.K.; Naik, N.
Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability. J. Compos. Sci. 2025, 9, 364.
https://doi.org/10.3390/jcs9070364
AMA Style
Hiremath P, Bhat SK, K. JP, Rao PK, Ambiger KD, B. R. N. M, Shetty SVUK, Naik N.
Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability. Journal of Composites Science. 2025; 9(7):364.
https://doi.org/10.3390/jcs9070364
Chicago/Turabian Style
Hiremath, Pavan, Subraya Krishna Bhat, Jayashree P. K., P. Krishnananda Rao, Krishnamurthy D. Ambiger, Murthy B. R. N., S. V. Udaya Kumar Shetty, and Nithesh Naik.
2025. "Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability" Journal of Composites Science 9, no. 7: 364.
https://doi.org/10.3390/jcs9070364
APA Style
Hiremath, P., Bhat, S. K., K., J. P., Rao, P. K., Ambiger, K. D., B. R. N., M., Shetty, S. V. U. K., & Naik, N.
(2025). Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability. Journal of Composites Science, 9(7), 364.
https://doi.org/10.3390/jcs9070364
