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Author

JinKang Hu

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Review Open access Sep 2026

Explainable Machine Learning in Mineral Prospectivity Mapping: A Critical Review of Methods, Geological Knowledge Embedding, Validation, and Future Directions

Mineral prospectivity mapping (MPM) increasingly integrates geological, geochemical, geophysical, remote-sensing, and structural evidence through machine-learning workflows. Predictive accuracy alone, however, does not establish that a prospectivity map is geologically credible or useful for exploration decisions. This...

Mei-Qu Lu, Lian-Fa Zhong, Wen-Qiang He et al. · 0 citations
Preprint Jul 2026

BDIP-Net: Dual-Interaction Graph Learning for Property Prediction of Bilayer Materials

Results show that the MatterSim-D3-based workflow closely reproduces DFT-PBE-D3 optimized structures, while BDIP-Net consistently outperforms existing graph neural network and potential-based approaches for bilayer property prediction.

Anh Vuong, Chen Zhao, Jin Hu et al. · 0 citations

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