Author

X. Chong

h-index 37 View on Semantic Scholar

We have 3 of 152 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#graph neural networks Review Oct 2026

Machine Learning for NOx Abatement Catalysts: From Data and Descriptors to Predictive Models and Inverse Design

Selective catalytic reduction (SCR), selective catalytic oxidation of NH 3 (NH 3 -SCO), and NO oxidation are core technologies for controlling NOx emissions from both stationary and mobile sources. However, the development of relevant catalysts has long relied on empirical rules and repeated trial-and-error, whil...

Chao-Shu Duan, Zheng-Yuan An, Ruo-Chen Tang et al. · NANO · 0 citations

Review Aug 2026

Research Progress on Microstructure Control and Computational Design of Strengthening Phases in High-Speed Steel

High-speed steels (HSS) occupy an important position in industrial cutting and roll applications due to their excellent hardness, red hardness, and comprehensive mechanical properties. Their service behavior is essentially determined by the type, morphology, distribution, and intrinsic properties of the strengthening p...

Zhengyuan An, Ruochen Tang, Zi-Long Zhao et al. · NANO · 0 citations

Open access Sep 2026

Physics-informed machine learning framework integrating solid solution strengthening theory for accelerated hardness prediction in high-entropy alloys

A hybrid physics-informed machine learning (Hybrid PIML) framework for accelerated hardness prediction, integrating classical solid solution strengthening theory with a residual learning artificial neural network (ANN), which establishes a precise, physically consistent pathway for inverse material design under data-co...

Ao-Yuan Gao, Yi-Xiang Yan, Qiu-Ling Tao et al. · Journal of Materials Informa... · 0 citations