Sustainable Biochar

Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review

Wang HSzu-Han, Yao Y. Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review. Resources, Conservation and Recycling [Internet]. 2023 ;190:106847. Available from: https://www.sciencedirect.com/science/article/pii/S0921344922006796

Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication

Lan K, Zhang B, Yao Y. Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication. One Earth [Internet]. 2022 ;5:944-957. Available from: https://www.sciencedirect.com/science/article/pii/S2590332222003682

Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Production Using Machine Learning and Kinetic Based Process Simulation

Liao M, Kelley S, Yao Y. Generating Energy and Greenhouse Gas Inventory Data of Activated Carbon Production Using Machine Learning and Kinetic Based Process Simulation. ACS Sustainable Chemistry and Engineering [Internet]. 2020 ;8(2):1252 - 1261. Available from: https://doi.org/10.1021/acssuschemeng.9b06522

Artificial neural network based modeling for the prediction of yield and surface area of activated carbon from biomass

Liao M, Kelley SS, Yao Y. Artificial neural network based modeling for the prediction of yield and surface area of activated carbon from biomass. Biofuels, Bioproducts and Biorefining [Internet]. 2019 ;13(4):1015 - 1027. Available from: https://doi.org/10.1002/bbb.1991