An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
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In scientific machine learning (SciML), a key challenge is learning unknown, evolving physical processes and making predictions across spatio-temporal scales. For example, in real-world manufacturing problems like additive manufacturing, users adjust known mac... ...
