Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples

  • Betelhiem N. Mengesha
  • , Andrew C. Grizzle
  • , Wondwosen Demisse
  • , Kate L. Klein
  • , Amy Elliott
  • , Pawan Tyagi

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Fingerprint

Dive into the research topics of 'Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples'. Together they form a unique fingerprint.

Material Science