American Psychological Association 6th edition

Xin, R., Le, V. T., & Goo, N. S. (2024). Prediction of the buckling mode of cylindrical composite shells with imperfections using FEM-based deep learning approach. Advanced Composite Materials, 33(2), 189-211. https://doi.org/10.1080/09243046.2023.2224129

ISO-690 (author-date, English)

XIN, Ruihai, LE, Vinh Tung und GOO, Nam Seo, 2024. Prediction of the buckling mode of cylindrical composite shells with imperfections using FEM-based deep learning approach. Advanced Composite Materials. 1 April 2024. Vol. 33, no. 2, p. 189-211. DOI 10.1080/09243046.2023.2224129.

Modern Language Association 9th edition

Xin, R., V. T. Le, und N. S. Goo. „Prediction of the Buckling Mode of Cylindrical Composite Shells With Imperfections Using FEM-Based Deep Learning Approach.“. Advanced Composite Materials, Bd. 33, Nr. 2, April 2024, S. 189-11, https://doi.org/10.1080/09243046.2023.2224129.

Mohr Siebeck - Recht (Deutsch - Österreich)

Xin, Ruihai/Le, Vinh Tung/Goo, Nam Seo: Prediction of the buckling mode of cylindrical composite shells with imperfections using FEM-based deep learning approach., Advanced Composite Materials 2024, 189-211.

Emerald - Harvard

Xin, R., Le, V.T. und Goo, N.S. (2024), „Prediction of the buckling mode of cylindrical composite shells with imperfections using FEM-based deep learning approach.“, Advanced Composite Materials, Vol. 33 No. 2, S. 189-211.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.