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Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy
Polymer particle size constitutes a crucial characteristic of product quality in polymerization.
Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era
Both Black-Box and (theoretically-informed and data-corrected) Gray-Box models are described; the necessity for the latter arises when truncated Galerkin projections are so inaccurate as to not be amenable to post-processing.
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