Biodegradation and metabolic fate of thiamphenicol via Chlorella sp. UTEX1602 and L38 C Song, Y Wei, J Sun, Y Song, S Li, Y Kitamura Bioresource technology 296, 122320, 2020 | 54 | 2020 |
A review of ionic liquids and deep eutectic solvents design for CO2 capture with machine learning J Sun, Y Sato, Y Sakai, Y Kansha Journal of Cleaner Production 414, 137695, 2023 | 21 | 2023 |
Bio-regeneration of different rich CO2 absorption solvent via microalgae cultivation C Song, J Liu, Y Qiu, M Xie, J Sun, Y Qi, S Li, Y Kitamura Bioresource technology 290, 121781, 2019 | 20 | 2019 |
Metabolic Mechanism of Sulfadimethoxine Biodegradation by Chlorella sp. L38 and Phaeodactylum tricornutum MASCC-0025 B Li, D Wu, Y Li, Y Shi, C Wang, J Sun, C Song Frontiers in Microbiology 13, 840562, 2022 | 13 | 2022 |
Ternary deep eutectic solvents: Evaluations based on how their physical properties affect energy consumption during post-combustion CO2 capture J Sun, Y Sato, Y Sakai, Y Kansha Energy 270, 126901, 2023 | 11 | 2023 |
Prediction of biogas production in anaerobic digestion of a full‐scale wastewater treatment plant using ensembled machine learning models J Sun, Y Xu, S Nairat, J Zhou, Z He Water Environment Research 95 (6), e10893, 2023 | 6 | 2023 |
Improving CO2 capture process with latent heat reuse system and artificial neural network model J Sun, Y Sakai, Y Sato, Y Kansha Chemical Engineering Transactions 94, 79-84, 2022 | 3 | 2022 |
Machine learning-aided inverse design for biogas upgrading through biological CO2 conversion J Sun, Y Rao, Z He Bioresource Technology 399, 130549, 2024 | 1 | 2024 |
Machine learning facilitated the conceptual design of an alum dosing system for phosphorus removal in a wastewater treatment plant J Sun, Y Xu, H Yang, J Liu, Z He Chemosphere 351, 141154, 2024 | 1 | 2024 |