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...