default author photo

Dan R. Moser

Sandia National Laboratories

P.O. Box 969

Livermore, CA 94551

United States

  • Sandia National Laboratories

SCHOLARLY PAPERS

1

DOWNLOADS

35

TOTAL CITATIONS

2

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Thermopore: Predicting Part Porosity Based on Thermal Images Using Deep Learning

Number of pages: 33 Posted: 21 May 2024
Peter Pak, Odinakachukwu Francis Ogoke, Andrew Polonsky, Anthony P. Garland, Dan S. Bolintineanu, Dan R. Moser, Mary Arnhart, Jonathan Madison, Thomas Ivanoff, John Mitchell, Bradley Jared, Brad Salzbrenner, Michael J. Heiden and Amir Barati Farimani
Carnegie Mellon University, Carnegie Mellon University, Sandia National Laboratories, Sandia National Laboratories - Materials, Physical, and Chemical Sciences Center, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories - Material, Physical, and Chemical Sciences, Sandia National Laboratories, Sandia National Laboratories and Carnegie Mellon University
Downloads 35 (1,263,436)
Citation 2

Abstract:

Loading...

Laser powder bed fusion, deep learning, digital twin, Thermal Imaging, Video Vision Transformer