Fernandes, P.H.E.; Silva, G.C.; Pitz, D.B.; Schnelle, M.; Koschek, K.; Nagel, C.; Beber, V.C.
Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence. Appl. Mech. 2023, 4, 334-355.
https://doi.org/10.3390/applmech4010019
AMA Style
Fernandes PHE, Silva GC, Pitz DB, Schnelle M, Koschek K, Nagel C, Beber VC.
Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence. Applied Mechanics. 2023; 4(1):334-355.
https://doi.org/10.3390/applmech4010019
Chicago/Turabian Style
Fernandes, Pedro Henrique Evangelista, Giovanni Corsetti Silva, Diogo Berta Pitz, Matteo Schnelle, Katharina Koschek, Christof Nagel, and Vinicius Carrillo Beber.
2023. "Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence" Applied Mechanics 4, no. 1: 334-355.
https://doi.org/10.3390/applmech4010019
APA Style
Fernandes, P. H. E., Silva, G. C., Pitz, D. B., Schnelle, M., Koschek, K., Nagel, C., & Beber, V. C.
(2023). Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence. Applied Mechanics, 4(1), 334-355.
https://doi.org/10.3390/applmech4010019