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Ying-Hua He

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Open access Sep 2026

DFT-driven multitask deep learning for sulfur gas sensing and removal by transition metal phthalocyanines

Accurate prediction of both gas sensitivity and adsorption capacity is essential for developing high-performance sensing and purification materials for sulfur-based toxic gases. However, these two targets are governed by multiple interrelated physicochemical factors originating from both the sensing material and gas mo...

Yuan-Chao Li, Ying-Hua He, Dao-Zhen Zhou et al. · 0 citations

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