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Research questionHow can chemical transport models learn unknown constitutive laws and initial conditions from experimental data?Hand-designed constitutive laws may not describe real transport behavior, while inaccurate initial conditions can systematically distort predictions. These errors become consequential when models are used for prediction, control, or experimental optimization.
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Latest papersRecent research connected to this question, newest first.Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental DataThe source addresses population-balance transport models that combine a finite-volume solver with learnable neural components for inferring constitutive laws, fitting initial conditions, and optimizing experimental settings. The evidence is limited to the described framework and its application to real experimental transport data.research paper · Sep 3, 2026
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