气候变化领域集成服务门户(CCPortal): Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture

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DOI	10.1021/acs.est.3c10922
	Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture
	Yuan, Xiangzhou; Suvarna, Manu; Lim, Juin Yau; Perez-Ramirez, Javier; Wang, Xiaonan; Ok, Yong Sik
发表日期	2024
ISSN	0013-936X
EISSN	1520-5851
英文摘要	Biomass waste-derived engineered biochar for CO2 capture presents a viable route for climate change mitigation and sustainable waste management. However, optimally synthesizing them for enhanced performance is time- and labor-intensive. To address these issues, we devise an active learning strategy to guide and expedite their synthesis with improved CO2 adsorption capacities. Our framework learns from experimental data and recommends optimal synthesis parameters, aiming to maximize the narrow micropore volume of engineered biochar, which exhibits a linear correlation with its CO2 adsorption capacity. We experimentally validate the active learning predictions, and these data are iteratively leveraged for subsequent model training and revalidation, thereby establishing a closed loop. Over three active learning cycles, we synthesized 16 property-specific engineered biochar samples such that the CO2 uptake nearly doubled by the final round. We demonstrate a data-driven workflow to accelerate the development of high-performance engineered biochar with enhanced CO2 uptake and broader applications as a functional material.
英文关键词	inverse design; machine learning; particleswarm optimization; carbon neutrality; environmentalsustainability; UN SDG 13
语种	英语
WOS研究方向	Engineering ; Environmental Sciences & Ecology
WOS类目	Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:001186907900001
来源期刊	ENVIRONMENTAL SCIENCE & TECHNOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/292626
作者单位	Southeast University - China; Korea University; Korea University; Swiss Federal Institutes of Technology Domain; ETH Zurich; Tsinghua University
推荐引用方式 GB/T 7714	Yuan, Xiangzhou,Suvarna, Manu,Lim, Juin Yau,et al. Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture[J],2024.
APA	Yuan, Xiangzhou,Suvarna, Manu,Lim, Juin Yau,Perez-Ramirez, Javier,Wang, Xiaonan,&Ok, Yong Sik.(2024).Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture.ENVIRONMENTAL SCIENCE & TECHNOLOGY.
MLA	Yuan, Xiangzhou,et al."Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture".ENVIRONMENTAL SCIENCE & TECHNOLOGY (2024).