97 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universiti Malaysia TerengganuMY3 papers
- University of TehranIR3 papers
- Anhui Normal UniversityCN2 papers
- Chinese Academy of Agricultural SciencesCN2 papers
- Guangzhou UniversityCN2 papers
- Henan UniversityCN2 papers
- Institute for Research in Fundamental SciencesIR2 papers
- Institute of Agricultural Resources and Regional PlanningCN2 papers
- Saveetha UniversityIN2 papers
- Biofuel Research TeamIR1 paper
- Chandigarh UniversityIN1 paper
- China University of GeosciencesCN1 paper
3 papers · 1 filter
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…