Machine learning has emerged as a transformative tool in the optimisation and understanding of biomass conversion processes, encompassing hydrothermal carbonisation, pyrolysis and gasification. By ...
Hydrothermal carbonization of lignocellulosic biomass—the most abundant renewable feedstock—is a promising method for the production of carbon materials with negative carbon emissions. This method has ...
Thermochemical conversion of biomass harnesses heat‐driven reactions—principally pyrolysis and carbonisation—to transform lignocellulosic feedstocks into charcoal. In slow pyrolysis processes, biomass ...
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