most citedMachine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

97 citations · 135 across the 2 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 38 cited

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…