Lanyi Wang

Physics-guided machine learning frameworks for fatigue life prediction of AM materials

Lanyi Wang, Shun‐Peng Zhu, Changqi Luo et al. · International Journal of Fatigue · 2023 · 113 citations

Materials Science, Engineering, Machine Learning +10

Enhanced activity and sulfur resistance for soot combustion on three-dimensionally ordered macroporous-mesoporous MnxCe1-xOδ/SiO2 catalysts

Xuehua Yu, Lanyi Wang, Maozhong Chen et al. · Applied Catalysis B: Environmental · 2019 · 98 citations · Full text

Materials Science, Chemical Engineering, Sulfur Resistance +10

Facile synthesis of birnessite-type K2Mn4O8 and cryptomelane-type K2-xMn8O16 catalysts and their excellent catalytic performance for soot combustion with high resistance to H2O and SO2

Di Yu, Yu Ren, Xuehua Yu et al. · Applied Catalysis B: Environmental · 2020 · 88 citations

Materials Science, Chemical Engineering, Catalytic Material +10

Alkali Metals and Cerium-Modified La–Co-Based Perovskite Catalysts: Facile Synthesis, Excellent Catalytic Performance, and Reaction Mechanisms for Soot Combustion

Di Yu, Lanyi Wang, Chunlei Zhang et al. · ACS Catalysis · 2022 · 82 citations

Engineering, Alkali Metals, Situ Diffuse Reflectance +17

Defect sensitivity and fatigue design: Deterministic and probabilistic aspects in additively manufactured metallic materials

Xiaopeng Niu, Chao He, Shun‐Peng Zhu et al. · Progress in Materials Science · 2024 · 81 citations

Materials Science, Metallic Materials, Engineering +10