Data-driven model of non-uniform state transition in packed-bed reactors

The project will involve big data-driven approaches for distilling out features facilitating transition of simulated non-uniform states or spatiotemporal patterns. These features will be used to decipher the underlying causal mechanism governing these transitions.

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