Huynh, Truong Nhut, Raji, Hatim, Saedi, Soheil, and Nguyen, Kim-Doang. Deep learning framework for accurate prediction of phase transformation in multicomponent shape memory alloys. Retrieved from https://par.nsf.gov/biblio/10637604. Computational Materials Science 258.C Web. doi:10.1016/j.commatsci.2025.114037.

Huynh, Truong Nhut, Raji, Hatim, Saedi, Soheil, & Nguyen, Kim-Doang. Deep learning framework for accurate prediction of phase transformation in multicomponent shape memory alloys. Computational Materials Science, 258 (C). Retrieved from https://par.nsf.gov/biblio/10637604. https://doi.org/10.1016/j.commatsci.2025.114037

Huynh, Truong Nhut, Raji, Hatim, Saedi, Soheil, and Nguyen, Kim-Doang. "Deep learning framework for accurate prediction of phase transformation in multicomponent shape memory alloys". Computational Materials Science 258 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.commatsci.2025.114037. https://par.nsf.gov/biblio/10637604.

@article{osti_10637604,
place = {Country unknown/Code not available}, title = {Deep learning framework for accurate prediction of phase transformation in multicomponent shape memory alloys}, url = {https://par.nsf.gov/biblio/10637604}, DOI = {10.1016/j.commatsci.2025.114037}, abstractNote = {}, journal = {Computational Materials Science}, volume = {258}, number = {C}, publisher = {Elsevier}, author = {Huynh, Truong Nhut and Raji, Hatim and Saedi, Soheil and Nguyen, Kim-Doang}, }