Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313256544> ?p ?o ?g. }
- W4313256544 endingPage "128547" @default.
- W4313256544 startingPage "128547" @default.
- W4313256544 abstract "Hydrothermal treatment (HTT) (i.e., hydrothermal carbonization, liquefaction, and gasification) is a promising technology for biomass valorization. However, diverse variables, including biomass compositions and hydrothermal processes parameters, have impeded in-depth mechanistic understanding on the reaction and engineering in HTT. Recently, machine learning (ML) has been widely employed to predict and optimize the production of biofuels, chemicals, and materials from HTT by feeding experimental data. This review comprehensively analyzed the application of ML for HTT of biomass and systematically illustrated basic ML procedure and descriptors for inputs and outputs of ML models (e.g., biomass compositions, operation conditions, yield and physicochemical properties of derived products) that could be applied in HTT. Moreover, this review summarized ML-aided HTT prediction of yield, compositions, and physicochemical properties of HTT hydrochar or biochar, bio-oil, syngas, and aqueous phase. Ultimately, future prospects were proposed to enhance predictive performance, mechanistic interpretation, process optimization, data sharing, and model application during ML-aided HTT." @default.
- W4313256544 created "2023-01-06" @default.
- W4313256544 creator A5016494979 @default.
- W4313256544 creator A5019124560 @default.
- W4313256544 creator A5021767947 @default.
- W4313256544 creator A5028728961 @default.
- W4313256544 creator A5056779663 @default.
- W4313256544 creator A5064075292 @default.
- W4313256544 creator A5069097767 @default.
- W4313256544 creator A5071509061 @default.
- W4313256544 creator A5076055846 @default.
- W4313256544 creator A5088692024 @default.
- W4313256544 date "2023-02-01" @default.
- W4313256544 modified "2023-10-01" @default.
- W4313256544 title "Machine learning for hydrothermal treatment of biomass: A review" @default.
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