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Using defects as a 'fossil record' to help interpret complex processes during additive manufacturing: as applied to raster-scanned electron beam powder bed additively manufactured Ti–6Al–4V
New contour line generation tool now available
Using defects as a 'fossil record' to help interpret complex processes during additive manufacturing: as applied to raster-scanned electron beam powder bed additively manufactured Ti–6Al–4V
Sensors August-1 2023 - Browse Articles
Self-supervised learning of spatiotemporal thermal signatures in additive manufacturing using reduced order physics models and transformers - ScienceDirect
PDF) SCR: Smooth Contour Regression with Geometric Priors
SCR: Smooth Contour Regression with Geometric Priors
Deep Learning Meets Sparse Regularization
Uncertainty Quantification and Propagation in Computational Materials Science and Simulation-Assisted Materials Design
PDF) SCR: Smooth Contour Regression with Geometric Priors
29th Annual Computational Neuroscience Meeting: CNS*2020, BMC Neuroscience
Carlson Survey Reference Manual May 2001 - Carlson Software