Application of a Chained-ANN for Learning the Process-Structure Mapping in Mg2SixSn1-x Spinodal Decomposition Academic Article

authors

• Arroyave, Raymundo
• Attari, Vahid

published proceedings

• INTEGRATING MATERIALS AND MANUFACTURING INNOVATION

author list (cited authors)

• Harrington, G. H., Kelly, C., Attari, V., Arroyave, R., & Kalidindi, S. R.

citation count

• 2

complete list of authors

• Harrington, Grayson H||Kelly, Conlain||Attari, Vahid||Arroyave, Raymundo||Kalidindi, Surya R

publication date

• September 2022

publisher

• Springer Nature  Publisher

published in

• Integrating Materials and Manufacturing Innovation  Journal

keywords

• Chained-ann
• Machine Learning
• Materials Informatics
• Phase-field Surrogate Model
• Process-structure Surrogate Model

Digital Object Identifier (DOI)

• 10.1007/s40192-022-00274-3

start page

• 433

end page

• 449

volume

• 11

issue

• 3

URL

• http://dx.doi.org/10.1007/s40192-022-00274-3