AI RESEARCH
FLARE: A Data-Efficient Surrogate for Predicting Displacement Fields in Directed Energy Deposition
arXiv CS.LG
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ArXi:2604.16649v1 Announce Type: new Directed energy deposition (DED) produces complex thermo-mechanical responses that can lead to distortion and reduced dimensional accuracy of a manufactured part. Thermo-mechanical finite element simulations are widely used to estimate these effects, but their computational cost and the complexity of accurately capturing DED physics limit their use in design iteration and process optimization. This paper