97 citations · 210 across the 3 of their papers we have counts for
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Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach
Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian +7
Chemical and biomass processing systems release volatile matter compounds into the environment daily. Catalytic reforming can convert these compounds into valuable fuels, but devel…
Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
Hossein Shahbeik, Alireza Shafizadeh, Mohammad Hossein Nadian +7
Co-pyrolysis of biomass feedstocks with polymeric wastes is a promising strategy for improving the quantity and quality parameters of the resulting liquid fuel. Numerous experiment…
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee +7
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile hydrochar without the need for prior drying. The physicochemical properties of hydrochar are infl…