文献类型：期刊文献

英文题名：Data-driven meta-analysis reveals boundary-dependent pore-architecture prominence in biomass-derived carbon supercapacitors

作者：Xu, Qing[1,2];Li, Zhaohui[1];Xian, Shengxian[1,2];Wu, Yujian[1];Li, Haowei[1,2];Zhang, Shenwei[1];Liu, Jiurun[1];Huang, Wenhui[1];Liu, Wenwen[1]

机构：[1]Guangdong Ocean Univ, Coll Ocean Engn & Energy, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Guangdong Prov Key Lab Intelligent Equipment South, Zhanjiang 524088, Peoples R China

年份：2026

卷号：182

外文期刊名：JOURNAL OF ENERGY STORAGE

收录：SCI-EXPANDED(收录号：WOS:001886072600001)、、EI(收录号：20263921534187)、Scopus(收录号：2-s2.0-105051339953)、WOS

基金：This work was supported by the National Natural Science Foundation of China (No. 52476190), the National Natural Science Foundation of China (No. 52376171), Joint Training Demonstration Base Project for Graduate Students of "Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences" in Guangdong Province, Zhanjiang Science and Technology Plan Project (2025A401002), Guangdong Basic and Applied Basic Research Foundation (2023A1515110541), Guangdong Basic and Applied Basic Research Foundation (2025A1515010722), Characteristic and Innovative Projects of General Institutions of Higher Education in Guangdong Province (2025KTSCX044), Youth S&T Talent Support Programme of Guangdong Provincial Association for Science and Technology (SKXRC2025404), Zhanjiang Non-Funded Science and Technology Research Program Projects (2025B01054), Guangdong Basic and Applied Basic Research Foundation (2024A1515010637), Zhanjiang Marine Youth Talent Innovation Project (Grant No. 2024R3002). Schematic illustrations in this manuscript were created with BioRender.com.

语种：英文

外文关键词：Biomass-derived carbon; Supercapacitors; Pore architecture; Structure-performance relationships; Data-driven meta-analysis; Interpretable machine learning

外文摘要：Biomass-derived carbons are promising sustainable electrodes for supercapacitors, yet their structure-performance relationships remain difficult to compare across heterogeneous literature reports. Here, a database of 759 sample-level records was curated and boundary-annotated to reassess the roles of pore architecture, morphology, surface chemistry, and testing conditions. Rather than forcing all records into a universal capacitance predictor, we used a boundary-aware framework to evaluate relationships under comparable conditions. After predefined filters, 443 records from 165 article groups formed the core subset, and 112 candidate regimes were evaluated. Five local regimes met the operational modelability criterion, with article-grouped cross-validation R 2 values of 0.505-0.829; the remaining regimes were retained for statistical association analysis. Globally, process and testing descriptors remained important sources of variation. After the principal literature boundaries were constrained, pore-architecture-related descriptors, including specific surface area, pore-volume and pore-size metrics, and morphology, became more prominent within comparable subsets, whereas surfacechemistry descriptors showed secondary and more boundary-dependent associations. These associations are statistical rather than causal and, together with established electrochemical and pore-transport mechanisms, support a coupled interpretation linking accessible pore architecture to charge-storage interface availability, morphology to ion-transport accessibility, and surface chemistry to carbon-surface utilization.