Material parameter identification for clinching process simulation using neural network metamodels. - Duc Vinh Nguyen; Pai-Chen Lin; Minh Chien Nguyen; Yang-Jiu Wu; Hoang Son Tran; Xuan Van Tran (RICE, 2022)

Machine learning-based optimization of process parameters in selective laser melting for biomedical applications. - Hong-Seok Park; Dinh Son Nguyen; Thai Le-Hong; Xuan Van Tran (J. Intell. Manuf., 2022)

Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting. - Thai Le-Hong; Pai-Chen Lin; Jian-Zhong Chen; Thinh Duc Quy Pham; Xuan Van Tran (J. Intell. Manuf., 2023)

Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning. - Thinh Duc Quy Pham; Truong-Vinh Hoang; Xuan Van Tran; Quoc Tuan Pham; Seifallah Fetni; Laurent Duchêne; Hoang Son Tran; Anne Marie Habraken (J. Intell. Manuf., 2023)

Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning. - Thanh Q. Nguyen; Nghi N. Nguyen; Xuan Van Tran (J. Intell. Manuf., 2024)