Predicting Stress-strain Behaviors of Additively Manufactured Materials via Loss-based and Activation-based Physics-informed Machine Learning

arXiv:2603.14489 · cs.LG · Submitted 2026-03-15 · Read on arXiv

cs.LG

Submitted: 2026-03-15

Updated: 2026-03-15

DOI: 10.1016/j.aei.2026.105322

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 2× in this paper · explained in 3 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Interpretability — 1× in this paper · explained in 15 episodes

Sources

• A Dynamic Time Warping-Transfer Learning Approach to Transferring Knowledge in Stress-strain Behaviors from Polymers to Metals: An Affordable and Generalizable Additive Manufacturing Part Qualification Framework

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