Bean, C, Calvat, M, Nie, Y, Black, RL, Velisavljevic, N, Anjaria, D, Charpagne, MA, and Stinville, JC. Accelerated fatigue strength prediction via additive manufactured functionally graded materials and high-throughput plasticity quantification. Retrieved from https://par.nsf.gov/biblio/10656594. Materials & Design 256.C Web. doi:10.1016/j.matdes.2025.114115.

Bean, C, Calvat, M, Nie, Y, Black, RL, Velisavljevic, N, Anjaria, D, Charpagne, MA, & Stinville, JC. Accelerated fatigue strength prediction via additive manufactured functionally graded materials and high-throughput plasticity quantification. Materials & Design, 256 (C). Retrieved from https://par.nsf.gov/biblio/10656594. https://doi.org/10.1016/j.matdes.2025.114115

Bean, C, Calvat, M, Nie, Y, Black, RL, Velisavljevic, N, Anjaria, D, Charpagne, MA, and Stinville, JC. "Accelerated fatigue strength prediction via additive manufactured functionally graded materials and high-throughput plasticity quantification". Materials & Design 256 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.matdes.2025.114115. https://par.nsf.gov/biblio/10656594.

@article{osti_10656594,
place = {Country unknown/Code not available}, title = {Accelerated fatigue strength prediction via additive manufactured functionally graded materials and high-throughput plasticity quantification}, url = {https://par.nsf.gov/biblio/10656594}, DOI = {10.1016/j.matdes.2025.114115}, abstractNote = {Not Available}, journal = {Materials & Design}, volume = {256}, number = {C}, publisher = {Elsevier}, author = {Bean, C and Calvat, M and Nie, Y and Black, RL and Velisavljevic, N and Anjaria, D and Charpagne, MA and Stinville, JC}, }