most citedLearning Hidden Physics and System Parameters with Deep Operator Networks

2 citations · 2 across the 3 of their papers we have counts for

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cs.CE2026

Learning to Control PDEs with Differentiable Predictive Control and Time-Integrated Neural Operators

Dibakar Roy Sarkar, Ján Drgoňa, Somdatta Goswami

We present a data-driven control framework for partial differential equations (PDEs). Our approach integrates Time-Integrated Deep Operator Networks (TI-DeepONets) as differentiabl…