Selected Publications

Preprints

• May 4, 2018 • B.L. DeCost, T. Francis, & E.A. Holm

  High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel

  In review for Microscopy and Microanalysis arxiv:1805.08693

  

  code | dataset | preprint

  Read more

Papers

• May 13, 2017 • B.L. DeCost, M.D. Hecht, T. Francis, B.A. Webler, Y.N. Picard, & E.A. Holm

  UHCSDB (UltraHigh Carbon Steel micrograph DataBase): tools for exploring large heterogeneous microstructure datasets

  IMMI 10.1007/s40192-017-0097-0 [preprint]

  

  code | dataset | [preprint] | data visualization

  Read more
• Apr 19, 2017 • B.L. DeCost, T. Francis, & E.A. Holm

  Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures

  Acta Materialia doi:10.1016/j.actamat.2017.05.014

  

  code | dataset | preprint | data visualization

  Read more
• Mar 19, 2017 • B.L. DeCost, H. Jain, A.D. Rollett, & E.A. Holm

  Computer vision and machine learning for autonomous characterization of AM powder feedstocks

  JOM (Mar. 2017), pp. 1–10. doi: 10.1007/s11837-016-2226-1

  

  Read more
• Jan 19, 2017 • B.L. DeCost & E.A. Holm

  Characterizing powder materials using keypoint-based computer vision methods

  Comp. Mater. Sci. 126 (Jan. 2017), pp. 438–445. doi: 10.1016/j.commatsci.2016.08.038

  

  dataset

• Nov 1, 2016 • B.L. DeCost & E.A. Holm

  Phenomenology of abnormal grain growth in systems with non-uniform grain boundary mobility

  Metall. and Mater. Trans. A (2016). doi: 10.1007/s11661-016-3673-6

  

• Dec 1, 2015 • B.L. DeCost & E.A. Holm

  A computer vision approach for automated analysis and classification of microstructural image data

  Comp. Mater. Sci. 110 (2015), pp. 126–133. doi: 10.1016/j.commatsci.2015.08.011