Unveiling Processing--Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments

Documenti analoghi

• A preliminary data fusion study to assess the feasibility of Foundation Process-Property Models in Laser Powder Bed Fusion
  di: Vendrell-Gallart, Oriol, et al.
  Pubblicazione: (2025)
• Constrained multi-fidelity Bayesian optimization with automatic stop condition
  di: Foumani, Zahra Zanjani, et al.
  Pubblicazione: (2025)
• Microstructural Control of a Multi‐Phase PH Steel Printed with Laser Powder Bed Fusion
  di: Brandon Fields, et al.
  Pubblicazione: (2024)
• GP+: A Python Library for Kernel-based learning via Gaussian Processes
  di: Yousefpour, Amin, et al.
  Pubblicazione: (2023)
• Microstructure‐Pore Defect‐Property Relationship of NiTi Alloy Fabricated by Laser Powder Bed Fusion: Experimental and Numerical Analysis
  di: Shubang Wang, et al.
  Pubblicazione: (2025)