APA (7th ed.) Citation

Guirguis, D., Tucker, C., & Beuth, J. (2026). AdditiveGDL: Generative deep learning for predicting local thermal distributions in metal 3D-printed layers. Journal of Intelligent Manufacturing, 37(6), 2203. https://doi.org/10.1007/s10845-025-02640-2

Chicago Style (17th ed.) Citation

Guirguis, David, Conrad Tucker, and Jack Beuth. "AdditiveGDL: Generative Deep Learning for Predicting Local Thermal Distributions in Metal 3D-printed Layers." Journal of Intelligent Manufacturing 37, no. 6 (2026): 2203. https://doi.org/10.1007/s10845-025-02640-2.

MLA (9th ed.) Citation

Guirguis, David, et al. "AdditiveGDL: Generative Deep Learning for Predicting Local Thermal Distributions in Metal 3D-printed Layers." Journal of Intelligent Manufacturing, vol. 37, no. 6, 2026, p. 2203, https://doi.org/10.1007/s10845-025-02640-2.