Accelerated Discovery of CO2 Solid Sorbents Using Active Machine Learning: Review and Perspectives DOI

Deyang Xu,

Jing Yang,

Zhaoxiang Xu

и другие.

Energy & Fuels, Год журнала: 2024, Номер unknown

Опубликована: Авг. 31, 2024

With the escalating severity of global climate change, significance carbon capture technology has become increasingly evident with respect to aim reaching peak and neutrality. Due exceptional selectivity, high adsorption capacity, long-term stability, solid sorbents are regarded as crucial materials for effective CO2 capture. Machine learning, an emerging tool in artificial intelligence, been adopted high-efficient screen catalysts recent years. By analyzing available data on material properties, machine learning can greatly enhance effectiveness precision identifying high-efficiency sorbents. This work provides overview latest advancements application capture, which specifically focuses by Several techniques their applications different types fully summarized concise comments, followed conclusion some challenges perspectives. review serve a guide development facilitate extensive utilization environmental protection.

Язык: Английский

Preparation of heavy bio-oil-based porous carbon by pyrolysis gas activation and its performance in the aldol condensation for aviation fuel as catalyst carrier DOI
Shanshan Shao, Tianrui Sun, Xiaohua Li

и другие.

Industrial Crops and Products, Год журнала: 2024, Номер 218, С. 118963 - 118963

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

8
Advanced Microporous Carbon Adsorbents for Selective CO₂ Capture: Insights into Heteroatom Doping and Pore Structure Optimization DOI

Jiawei Shao,

Yingyi Wang, Chen Liu

и другие.

Journal of Analytical and Applied Pyrolysis, Год журнала: 2024, Номер unknown, С. 106946 - 106946

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

8
CH3COOK Etching to Prepare N-Doped Peanut Shell Microporous Carbon for Efficient CO2 Adsorption DOI
Ying-Yu Liao, Yi Ye,

Run Liu

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

This study successfully synthesized microporous nitrogen-doped biomass porous carbon (NPSCs) through a two-step method, utilizing cost-effective peanut shells as the source, urea nitrogen and CH3COOK activating agent. By optimizing ratio of agent carbonization temperature, pore structure surface chemical properties NPSCs were effectively tailored. Characterization results revealed that exhibited significant number micropores, attributed to critical etching effect CH3COOK. The optimal sample, NPSC-2-700, demonstrated specific area 1455.41 m2/g micropore volume 0.57 cm3/g. Notably, NPSC-2-700 achieved remarkable CO2 adsorption capacities 3.91 5.90 mmol/g at 25 0 °C, respectively, under 1 bar. Additionally, maintained exceptional performance even after ten consecutive adsorption–desorption cycles. selectivity was calculated be 43 using ideal solution theory in classic gas mixture (CO2/N2 = 15 vol %:85 %), demonstrating good dynamic capture capacity. These findings underscore promising potential materials for efficient applications.

Язык: Английский

Процитировано

0
Accelerated Discovery of CO2 Solid Sorbents Using Active Machine Learning: Review and Perspectives DOI

Deyang Xu,

Jing Yang,

Zhaoxiang Xu

и другие.

Energy & Fuels, Год журнала: 2024, Номер unknown

Опубликована: Авг. 31, 2024

With the escalating severity of global climate change, significance carbon capture technology has become increasingly evident with respect to aim reaching peak and neutrality. Due exceptional selectivity, high adsorption capacity, long-term stability, solid sorbents are regarded as crucial materials for effective CO2 capture. Machine learning, an emerging tool in artificial intelligence, been adopted high-efficient screen catalysts recent years. By analyzing available data on material properties, machine learning can greatly enhance effectiveness precision identifying high-efficiency sorbents. This work provides overview latest advancements application capture, which specifically focuses by Several techniques their applications different types fully summarized concise comments, followed conclusion some challenges perspectives. review serve a guide development facilitate extensive utilization environmental protection.

Язык: Английский

Процитировано

3