Faegh, Meysam, Ghungrad, Suyog, Oliveira, João Pedro, Rao, Prahalada, and Haghighi, Azadeh. A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing. Retrieved from https://par.nsf.gov/biblio/10575377. Journal of Manufacturing Processes 133.C Web. doi:10.1016/j.jmapro.2024.11.066.

Faegh, Meysam, Ghungrad, Suyog, Oliveira, João Pedro, Rao, Prahalada, & Haghighi, Azadeh. A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing. Journal of Manufacturing Processes, 133 (C). Retrieved from https://par.nsf.gov/biblio/10575377. https://doi.org/10.1016/j.jmapro.2024.11.066

Faegh, Meysam, Ghungrad, Suyog, Oliveira, João Pedro, Rao, Prahalada, and Haghighi, Azadeh. "A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing". Journal of Manufacturing Processes 133 (C). Country unknown/Code not available: Elseiver. https://doi.org/10.1016/j.jmapro.2024.11.066. https://par.nsf.gov/biblio/10575377.

@article{osti_10575377,
place = {Country unknown/Code not available}, title = {A review on physics-informed machine learning for process-structure-property modeling in additive manufacturing}, url = {https://par.nsf.gov/biblio/10575377}, DOI = {10.1016/j.jmapro.2024.11.066}, abstractNote = {}, journal = {Journal of Manufacturing Processes}, volume = {133}, number = {C}, publisher = {Elseiver}, author = {Faegh, Meysam and Ghungrad, Suyog and Oliveira, João Pedro and Rao, Prahalada and Haghighi, Azadeh}, }