祝贺杨丽红论文“Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass”被Biochar（IF：11.452）接收发表！

Release time:2022-09-19

Description of Publication:Biochar produced from pyrolysis of biomass has been developed as a platform carbonaceous material that can be used in various applications. The specific surface area (SSA) and functionalities such as N-containing functional groups of biochar are the most significant properties determining the application performance of biochar as a carbon material in various areas, such as removal of pollutants, adsorption of CO2 and H2, catalysis, and energy storage. Producing biochar with preferable SSA and N functional groups is among the frontiers to engineer biochar materials. This study attempted to build machine learning models to predict and optimize specific surface area of biochar, N content of biochar, and yield of biochar individually or simultaneously, by using elemental, proximate, and biochemical compositions of biomass and pyrolysis conditions as input variables. The optimum solutions were then experimentally verified, which opens a new way for designing smart biochar.

Translated or Not:no