Data-driven insights into nonradical activation mechanisms for biochar inverse design: A synergistic approach using DFT and machine learning with meta-analysis

Honglin Chen, Rupeng Wang, Zixiang He, Shih-Hsin Ho

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Chinese Chemical Letters ›› 2026, Vol. 37 ›› Issue (02) : 111372. DOI: 10.1016/j.cclet.2025.111372
Communications

Data-driven insights into nonradical activation mechanisms for biochar inverse design: A synergistic approach using DFT and machine learning with meta-analysis

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{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2026, 37(02): 111372 https://doi.org/10.1016/j.cclet.2025.111372

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