Ralph, B. J., Hartl, K., Sorger, M., Schwarz-Gsaxner, A., & Stockinger, M. (2021). Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach. Journal of Manufacturing & Materials Processing, 5(2), 1-21. https://doi.org/10.3390/jmmp5020039

RALPH, Benjamin James, HARTL, Karin, SORGER, Marcel, SCHWARZ-GSAXNER, Andreas und STOCKINGER, Martin, 2021. Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach. Journal of Manufacturing & Materials Processing. 1 Juni 2021. Vol. 5, no. 2, p. 1-21. DOI 10.3390/jmmp5020039.

Ralph, B. J., K. Hartl, M. Sorger, A. Schwarz-Gsaxner, und M. Stockinger. „Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach.“. Journal of Manufacturing & Materials Processing, Bd. 5, Nr. 2, Juni 2021, S. 1-21, https://doi.org/10.3390/jmmp5020039.

Ralph, Benjamin James/Hartl, Karin/Sorger, Marcel/Schwarz-Gsaxner, Andreas/Stockinger, Martin: Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach., Journal of Manufacturing & Materials Processing 2021, 1-21.

Ralph, B.J., Hartl, K., Sorger, M., Schwarz-Gsaxner, A. und Stockinger, M. (2021), „Machine Learning Driven Prediction of Residual Stresses for the Shot Peening Process Using a Finite Element Based Grey-Box Model Approach.“, Journal of Manufacturing & Materials Processing, Vol. 5 No. 2, S. 1-21.