Search
  • davidcereceda

New paper published in Materials Science and Engineering: A

This work shows how to efficiently employ two data-driven approaches, spectral clustering and K-nearest neighbor classification (KNN), to better understand slip activity and fatigue-induced void formation.

Thanks for the fruitful collaboration, Joe, Jason, and Kavan!

You can find it at: https://www.sciencedirect.com/science/article/abs/pii/S0921509322001460



40 views0 comments