The Science of The Total Environment, Год журнала: 2024, Номер 938, С. 173471 - 173471
Опубликована: Май 22, 2024
Язык: Английский
The Science of The Total Environment, Год журнала: 2024, Номер 938, С. 173471 - 173471
Опубликована: Май 22, 2024
Язык: Английский
Biotechnology Advances, Год журнала: 2023, Номер 67, С. 108181 - 108181
Опубликована: Июнь 1, 2023
The sustainable utilization of biochar produced from biomass waste could substantially promote the development carbon neutrality and a circular economy. Due to their cost-effectiveness, multiple functionalities, tailorable porous structure, thermal stability, biochar-based catalysts play vital role in biorefineries environmental protection, contributing positive, planet-level impact. This review provides an overview emerging synthesis routes for multifunctional catalysts. It discusses recent advances biorefinery pollutant degradation air, soil, water, providing deeper more comprehensive information catalysts, such as physicochemical properties surface chemistry. catalytic performance deactivation mechanisms under different systems were critically reviewed, new insights into developing efficient practical large-scale use various applications. Machine learning (ML)-based predictions inverse design have addressed innovation with high-performance applications, ML efficiently predicts biochar, interprets underlying complicated relationships, guides synthesis. Finally, benefit economic feasibility assessments are proposed science-based guidelines industries policymakers. With concerted effort, upgrading protection reduce pollution, increase energy safety, achieve management, all which beneficial attaining several United Nations Sustainable Development Goals (UN SDGs) Environmental, Social Governance (ESG).
Язык: Английский
Процитировано
105Applied Catalysis B Environment and Energy, Год журнала: 2023, Номер 340, С. 123223 - 123223
Опубликована: Сен. 1, 2023
Язык: Английский
Процитировано
45Bioresource Technology, Год журнала: 2024, Номер 394, С. 130287 - 130287
Опубликована: Янв. 3, 2024
Язык: Английский
Процитировано
34Biochar, Год журнала: 2024, Номер 6(1)
Опубликована: Янв. 25, 2024
Abstract The use of machine learning (ML) in the field predicting heavy metals interaction with biochar is a promising research, mainly because growing understanding how removal efficiency affected by characteristic variables, reaction conditions and properties. practical application still faces large challenges, such as difficulties data collection, inadequate algorithm development, insufficient information. However, quantity, quality, representation have impact on accuracy, efficiency, generalizability tasks. From this perspective, present descriptors, learning-aided property performance prediction, interpretation underlying mechanisms complicated relationships, some potential ways to augment are discussed regarding interactions biochar. Finally, future perspectives challenges discussed, an enhanced model proposed reinforce feasibility particular perspective. Graphical
Язык: Английский
Процитировано
22Environmental Science & Technology, Год журнала: 2024, Номер 58(15), С. 6628 - 6636
Опубликована: Март 18, 2024
Biomass waste-derived engineered biochar for CO2 capture presents a viable route climate change mitigation and sustainable waste management. However, optimally synthesizing them enhanced performance is time- labor-intensive. To address these issues, we devise an active learning strategy to guide expedite their synthesis with improved adsorption capacities. Our framework learns from experimental data recommends optimal parameters, aiming maximize the narrow micropore volume of biochar, which exhibits linear correlation its capacity. We experimentally validate predictions, are iteratively leveraged subsequent model training revalidation, thereby establishing closed loop. Over three cycles, synthesized 16 property-specific samples such that uptake nearly doubled by final round. demonstrate data-driven workflow accelerate development high-performance broader applications as functional material.
Язык: Английский
Процитировано
21Separation and Purification Technology, Год журнала: 2024, Номер 346, С. 127457 - 127457
Опубликована: Апрель 11, 2024
Язык: Английский
Процитировано
19Bioresource Technology, Год журнала: 2024, Номер 394, С. 130291 - 130291
Опубликована: Янв. 4, 2024
Язык: Английский
Процитировано
17Journal of Hazardous Materials, Год журнала: 2023, Номер 461, С. 132690 - 132690
Опубликована: Окт. 2, 2023
Язык: Английский
Процитировано
42Chemical Engineering Journal, Год журнала: 2023, Номер 474, С. 145600 - 145600
Опубликована: Авг. 26, 2023
Язык: Английский
Процитировано
33Journal of Environmental Management, Год журнала: 2023, Номер 347, С. 119158 - 119158
Опубликована: Окт. 5, 2023
Язык: Английский
Процитировано
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