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Haoyi Peng

Showing results (1-10 of 10) with videos related to

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Bioresource Technology|December 3, 2022
Machine learning assisted predicting and engineering specific surface area and total pore volume of biocharHailong Li, Zejian Ai, Lihong Yang, et al.
Bioresource Technology|August 19, 2022
Machine learning prediction of nitrogen heterocycles in bio-oil produced from hydrothermal liquefaction of biomassLijian Leng, Weijin Zhang, Qingyue Chen, et al.
Journal of Hazardous Materials|January 20, 2024
Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biocharTian Shen, Haoyi Peng, Xingzhong Yuan, et al.
Bioresource Technology|May 23, 2022
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomassLijian Leng, Weijin Zhang, Tonggui Liu, et al.
The Science of the Total Environment|June 22, 2024
Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomassWeijin Zhang, Zejian Ai, Qingyue Chen, et al.
Bioresource Technology|December 30, 2022
Machine learning for hydrothermal treatment of biomass: A reviewWeijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology|March 27, 2021
Co-culture of fungi-microalgae consortium for wastewater treatment: A reviewLijian Leng, Wenting Li, Jie Chen, et al.
The Science of the Total Environment|December 11, 2020
A review on nitrogen transformation in hydrochar during hydrothermal carbonization of biomass containing nitrogenLijian Leng, Lihong Yang, Songqi Leng, et al.
Bioresource Technology|December 2, 2021
Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algaeWeijin Zhang, Jie Li, Tonggui Liu, et al.
The Science of the Total Environment|January 25, 2022
Co-liquefaction of Chlorella and soybean straw for production of bio-crude: Effects of reusing aqueous phase as the reaction mediumSongqi Leng, Huiting Jiao, Tonggui Liu, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Bioresource Technology|December 3, 2022
Machine learning assisted predicting and engineering specific surface area and total pore volume of biocharHailong Li, Zejian Ai, Lihong Yang, et al.
Bioresource Technology|August 19, 2022
Machine learning prediction of nitrogen heterocycles in bio-oil produced from hydrothermal liquefaction of biomassLijian Leng, Weijin Zhang, Qingyue Chen, et al.
Journal of Hazardous Materials|January 20, 2024
Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biocharTian Shen, Haoyi Peng, Xingzhong Yuan, et al.
Bioresource Technology|May 23, 2022
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomassLijian Leng, Weijin Zhang, Tonggui Liu, et al.
The Science of the Total Environment|June 22, 2024
Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomassWeijin Zhang, Zejian Ai, Qingyue Chen, et al.
Bioresource Technology|December 30, 2022
Machine learning for hydrothermal treatment of biomass: A reviewWeijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology|March 27, 2021
Co-culture of fungi-microalgae consortium for wastewater treatment: A reviewLijian Leng, Wenting Li, Jie Chen, et al.
The Science of the Total Environment|December 11, 2020
A review on nitrogen transformation in hydrochar during hydrothermal carbonization of biomass containing nitrogenLijian Leng, Lihong Yang, Songqi Leng, et al.
Bioresource Technology|December 2, 2021
Machine learning prediction and optimization of bio-oil production from hydrothermal liquefaction of algaeWeijin Zhang, Jie Li, Tonggui Liu, et al.
The Science of the Total Environment|January 25, 2022
Co-liquefaction of Chlorella and soybean straw for production of bio-crude: Effects of reusing aqueous phase as the reaction mediumSongqi Leng, Huiting Jiao, Tonggui Liu, et al.
Pageof 1