Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants

Yongjin Choi, Chenying Liu, Jorge Macedo

Deep Operator Networks (DeepONets) have emerged as a powerful surrogate modeling framework for learning solution operators in PDE-governed systems. While their use is expanding acr…