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News/Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data
arxiv
PublishedSeptember 4, 2026 at 4:00 AM
—neutral

Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data

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arXiv:2609.04011v1 Announce Type: cross Abstract: Reliable transport models are essential when modelling and optimising many chemical engineering processes, yet, most models assume hand-picked constitutive laws which may not reflect reality, and often assume initial conditions are known exactly. Bot

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