APA (7th ed.) Citation

Venkatachalam, K., Selvaraj, S. K., Mannayee, G., Pattabiraman, K., & G, S. (2026). RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. Scientific Reports, 16(1), 1. https://doi.org/10.1038/s41598-026-42608-7

Chicago Style (17th ed.) Citation

Venkatachalam, Krishnan, Senthil Kumaran Selvaraj, Giriraj Mannayee, Kalyanaraman Pattabiraman, and Sundaramali G. "RBF-assisted Surrogate Modeling and Machine Learning for Mechanical Property Prediction in Friction Stir Additive Manufacturing: Application to Dissimilar AA6061/AA7075 Aluminum Alloys." Scientific Reports 16, no. 1 (2026): 1. https://doi.org/10.1038/s41598-026-42608-7.

MLA (9th ed.) Citation

Venkatachalam, Krishnan, et al. "RBF-assisted Surrogate Modeling and Machine Learning for Mechanical Property Prediction in Friction Stir Additive Manufacturing: Application to Dissimilar AA6061/AA7075 Aluminum Alloys." Scientific Reports, vol. 16, no. 1, 2026, p. 1, https://doi.org/10.1038/s41598-026-42608-7.