Combined machine learning and CALPHAD approach for discovering processing-structure relationships in soft magnetic alloys Article

Jha, Rajesh, Chakraborti, Nirupam, Diercks, David R et al. (2018). Combined machine learning and CALPHAD approach for discovering processing-structure relationships in soft magnetic alloys . COMPUTATIONAL MATERIALS SCIENCE, 150 202-211. 10.1016/j.commatsci.2018.04.008

Open Access International Collaboration

cited authors

  • Jha, Rajesh; Chakraborti, Nirupam; Diercks, David R; Stebner, Aaron P; Ciobanu, Cristian V

authors

publication date

  • July 1, 2018

published in

keywords

  • ALGORITHMS
  • CALPHAD
  • CRYSTALLIZATION
  • CU
  • DESIGN
  • FINEMET
  • KINETICS
  • MICROSTRUCTURE
  • Machine learning
  • Materials Science
  • Materials Science, Multidisciplinary
  • NANOCRYSTALLIZATION
  • NUCLEATION
  • OPTIMIZATION
  • Parallel coordinate chart
  • STRUCTURE-PROPERTY LINKAGES
  • Science & Technology
  • Soft magnetic alloys
  • Technology
  • k-nearest neighbour algorithm

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCIENCE BV

start page

  • 202

end page

  • 211

volume

  • 150