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Pooja Dwivedi

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Aug 2026

Conservation-informed machine learning for physically admissible four-phase hydrothermal liquefaction surrogate modelling.

Hydrothermal liquefaction (HTL) distributes wet biomass and residues among bio-oil, char, aqueous product, and gas. Independent phase regressors can produce negative or non-closed allocations, and random validation obscures inter-study heterogeneity. We develop a conservation-informed constrained surrogate treating the...

Seifallah Elfetni, Sascha Thinius, Pooja Dwivedi et al. · 0 citations

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