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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 24, 2023
Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materialsLanyi Wang, Shun-Peng Zhu, Changqi Luo, et al.Journal of Environmental Sciences (China)|May 30, 2026
Facile synthesis, excellent catalytic performance, and reaction mechanisms of KxCoMnOδ hollow nanotube catalysts for soot combustionChunlei Zhang, Yu Ren, Di Yu, et al.Smart Molecules : Open Access|July 8, 2025
Facile preparation of alkali metal-modified hollow nanotubular manganese-based oxide catalysts and their excellent catalytic soot combustion performanceChunlei Zhang, Siyu Gao, Xinyu Chen, et al.Dalton Transactions (Cambridge, England : 2003)|January 19, 2026
Synthesis of CeMnOδ/3DOM Ti1-xWxOy catalysts: catalytic performance and reaction mechanism for the simultaneous removal of soot and NOxRuidan Wang, Lanyi Wang, Xinyu Chen, et al.Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|September 24, 2023
Physics-informed machine learning and its structural integrity applications: state of the artShun-Peng Zhu, Lanyi Wang, Changqi Luo, et al.Journal of Environmental Sciences (China)|November 14, 2022
Alkali/alkaline-earth metal-modified MnOx supported on three-dimensionally ordered macroporous-mesoporous TixSi1-xO2 catalysts: Preparation and catalytic performance for soot combustionChao Peng, Di Yu, Chunlei Zhang, et al.Pageof 1