Korea University · Engineering
Xiangzhou Yuan 교수의 연구실은 폐기물 유-derived 생체탄소 및 엔지니어드 바이오차를 활용한 탄소 포집, 환경 오염 제거, 폐플라스틱의 자원화를 핵심으로 하는 지속 가능한 자원 순환 기술을 연구합니다. 특히, 머신러닝 기반의 활성 학습 전략을 도입해 바이오차의 합성 조건을 최적화하고, 미세다공구조와 표면 기능기를 제어하여 CO₂ 흡착 성능을 극대화하는 데 초점을 맞추고 있습니다. 또한 생체탄소 기반 촉매를 활용한 폐플라스틱의 연료 전환 기술 개발도 진행 중입니다.
Figures are computed from collected data and may differ slightly.
Biomass waste-derived porous carbons (BWDPCs) are a class of complex materials that are widely used in sustainable waste management and carbon capture. However, their diverse textural properties, the presence of various functional groups, and the varied temperatures and pressures to which they are subjected during CO<sub>2</sub> adsorption make it challenging to understand the underlying mechanism of CO<sub>2</sub> adsorption. Here, we compiled a data set including 527 data points collected from
This study assessed waste PET-derived activated carbon coupled with temperature swing CO<sub>2</sub> adsorption to provide a comprehensive investigation on the potential life cycle environmental impacts.
Humanity needs innovative ways to combat the environmental burden caused by food waste, which is one of the critical global issues. We proposed food waste-derived engineered biochar (FWDEB) for CO2 capture from a life cycle perspective. FWDEB samples were prepared by carbonization and chemical activation for CO2 adsorption. FW400-KOH600(2), carbonized at 400 °C and then activated at 600 °C with a KOH/biochar mass ratio of 2, presented the best CO2 adsorption capacities of 4.06 mmol g–1 at 0 °C (
Biomass waste-derived engineered biochar for CO<sub>2</sub> 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 CO<sub>2</sub> adsorption capacities. Our framework learns from experimental data and recommends optimal synthesis parameters, aiming to
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