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Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning
Predicting part quality for additive manufacturing (AM) processes requires high-fidelity numerical simulation of partial differential equations (PDEs) governing process multiphysics on a scale of minimum manufacturable features.
Constrained Image Generation Using Binarized Neural Networks with Decision Procedures
To perform image generation we need to define a mapping from a porous medium to its physical process parameters.
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