Harrington, Grayson H., Kelly, Conlain, Attari, Vahid, Arroyave, Raymundo, and Kalidindi, Surya R. Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition. Retrieved from https://par.nsf.gov/biblio/10356844. Integrating Materials and Manufacturing Innovation 11.3 Web. doi:10.1007/s40192-022-00274-3.

Harrington, Grayson H., Kelly, Conlain, Attari, Vahid, Arroyave, Raymundo, & Kalidindi, Surya R. Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition. Integrating Materials and Manufacturing Innovation, 11 (3). Retrieved from https://par.nsf.gov/biblio/10356844. https://doi.org/10.1007/s40192-022-00274-3

Harrington, Grayson H., Kelly, Conlain, Attari, Vahid, Arroyave, Raymundo, and Kalidindi, Surya R. "Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition". Integrating Materials and Manufacturing Innovation 11 (3). Country unknown/Code not available. https://doi.org/10.1007/s40192-022-00274-3. https://par.nsf.gov/biblio/10356844.

@article{osti_10356844,
place = {Country unknown/Code not available}, title = {Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition}, url = {https://par.nsf.gov/biblio/10356844}, DOI = {10.1007/s40192-022-00274-3}, abstractNote = {}, journal = {Integrating Materials and Manufacturing Innovation}, volume = {11}, number = {3}, author = {Harrington, Grayson H. and Kelly, Conlain and Attari, Vahid and Arroyave, Raymundo and Kalidindi, Surya R.}, }