Sustainably transforming biomass into advanced carbon materials for solid-state supercapacitors: A review DOI
Ruoxun Fan, Beichen Xue, Pengfei Tian

и другие.

Chemical Communications, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Biomass-derived carbon materials (BDCMs) are widely considered as promising and practical candidates for electrode of solid-state supercapacitors (SSCs), due to their low cost, good chemical mechanical stabilities, excellent electrical conductivity, high deployment feasibility. Numerous investigations have recently been conducted sustainably transforming biomass into with electrochemical performance in SSCs, even guided by data-driven approaches. Therefore, this review addresses conventional emerging synthesis routes BDCM-based discusses recent advances energy storage mechanisms enhancement BDCMs improving preparation optimization a efficient manner. As two the most powerful tools novel material discovery design, machine learning (ML) 3D printing technologies introduced provide closed-loop guidelines accurately efficiently producing performance; main challenges successfully applying ML methodologies also addressed, providing critical potential innovation future development SSCs. In review, from life-cycle perspective, environmental benefits assessed being highlighted alternative solidify security achieve sustainable management. The concluding remarks prospects finally discussed valuable insights academic researchers governmental policymakers. With concerted efforts, high-performance SSCs is beneficial achieving UN Sustainable Development Goals 7, 11-13.

Язык: Английский

Synergistic coupling strategy for efficient energy recovery and pollutant stabilization from sewage sludge and food waste treatment: laboratory investigation and pilot test verification DOI
Chunxing Li,

Ruming Wang,

Zengwei Yuan

и другие.

Water Research, Год журнала: 2024, Номер 261, С. 122050 - 122050

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

22

Biochar-amended soil can further sorb atmospheric CO2 for more carbon sequestration DOI Creative Commons

Xiangyang Gui,

Xiaoyun Xu, Zehong Zhang

и другие.

Communications Earth & Environment, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 3, 2025

Input of biochar into soil is considered as an efficient technology for carbon sequestration. This work aimed to explore if the extra sorption dioxide (CO2) exists in biochar-amended soil, which has not yet received attention. Here we put and mineral-rich soils perform laboratory CO2 experiments. Our results demonstrate that all increased storage meanwhile further sorb more The Ca or Mg originated could react with eventually be converted inorganic carbonate minerals amended soil. Further, country-level prediction showed cultivated top application China achieve 7.38–12.5 billion tons sequestration additional 0.34–2.66 sorption. require us take consideration both sink assessment potential Application [5%] sequester around 10 China's soils, according experiments pristine four different applications.

Язык: Английский

Процитировано

4

Insights into the effects of biomass feedstock and pyrolysis conditions on the energy storage capacity and durability of standard biochar-based phase-change composites DOI Creative Commons
Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam

и другие.

Biochar, Год журнала: 2025, Номер 7(1)

Опубликована: Янв. 20, 2025

Язык: Английский

Процитировано

3

Active learning streamlines development of high performance catalysts for higher alcohol synthesis DOI Creative Commons
Manu Suvarna, Tangsheng Zou,

Sok Ho Chong

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Июль 11, 2024

Developing efficient catalysts for syngas-based higher alcohol synthesis (HAS) remains a formidable research challenge. The chain growth and CO insertion requirements demand multicomponent materials, whose complex reaction dynamics extensive chemical space defy catalyst design norms. We present an alternative strategy by integrating active learning into experimental workflows, exemplified via the FeCoCuZr family. Our data-aided framework streamlines navigation of composition condition in 86 experiments, offering >90% reduction environmental footprint costs over traditional programs. It identifies Fe

Язык: Английский

Процитировано

11

Methodology for Predicting Material Performance by Context-based Modeling: A Case Study on Solid Amine CO2 Adsorbents DOI Creative Commons
Shuangjun Li, Zhixin Huang, Yuanming Li

и другие.

Energy and AI, Год журнала: 2025, Номер unknown, С. 100477 - 100477

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Review and analysis of porous adsorbents for effective CO2 capture DOI Creative Commons
Sahar Foorginezhad, Fredrik Weiland, Yifeng Chen

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 215, С. 115589 - 115589

Опубликована: Март 16, 2025

Язык: Английский

Процитировано

2

Biochar-based catalytic upgrading of plastic waste into liquid fuels towards sustainability DOI Creative Commons
Fanghua Li, Ning Wang, He Xin

и другие.

Communications Earth & Environment, Год журнала: 2025, Номер 6(1)

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

2

Machine Learning Predicts Biochar Aging Effects on Nitrous Oxide Emissions from Agricultural Soils DOI

Shujun Wang,

Jie Li, Xiangzhou Yuan

и другие.

ACS Agricultural Science & Technology, Год журнала: 2024, Номер 4(9), С. 888 - 898

Опубликована: Авг. 20, 2024

Biochar effects on agricultural soils change over time as biochar ages. To better understand the long-term impacts of application climate mitigation, effect aging nitrous oxide (N2O) emissions has been widely investigated in field experiments. However, underlying relationship N2O with properties, fertilization practices, soil and weather conditions is poorly understood. We collected data from 30 peer-reviewed publications 279 observations used machine learning (ML) to model explore critical factors affecting daily fluxes. established compared models constructed using neural networks (NN), support vector regression (SVR), random forest (RF), extreme gradient boosting (XGB). found that (GBR) was optimal algorithm for predicting fluxes (R2 > 0.90). The importance driving follows: practices (44%) (30%) properties (21%) (5%). In addition, biochar, potassium rate, clay fraction, mean air temperature were When initially applied, it can reduce emissions; however, no reducing emissions. accurate prediction insights ML benefit assessment soils.

Язык: Английский

Процитировано

7

Sustainable thermal buffering of microencapsulated bio-phase change materials through an engineered biochar dopant DOI Creative Commons
Dimberu G. Atinafu, Ji Yong Choi, Jihee Nam

и другие.

Biochar, Год журнала: 2025, Номер 7(1)

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

1

Sustainable thermochemical plastic valorization towards a circular economy: a critical review DOI
Liang Chen,

Can Zhao,

Xiangzhou Yuan

и другие.

Green Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Emerging technologies-empowered thermochemical plastic valorization is developed for value-added products in green and practical manner, which are beneficial to achieving circular economy several UN sustainable development goals.

Язык: Английский

Процитировано

1