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Materials (Basel, Switzerland)|May 20, 2022
Resistance Loss in Cemented Paste Backfill Pipelines: Effect of Inlet Velocity, Particle Mass Concentration, and Particle SizeQiusong Chen, Hailong Zhou, Yunmin Wang, et al.
Environmental Research|February 4, 2024
Artificial intelligence-based prediction model for the elemental occurrence form of tailings and mine wastesChongchong Qi, Tao Hu, Jiashuai Zheng, et al.
The Science of the Total Environment|July 15, 2024
Mapping global distributions of clay-size minerals via soil properties and machine learning techniquesQinpeng Liao, Huangling Gu, Chongchong Qi, et al.
Chemosphere|December 10, 2019
Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approachChongchong Qi, Hai-Bang Ly, Qiusong Chen, et al.
Ecotoxicology and Environmental Safety|May 10, 2026
Mineral-mediated hyperspectral response mechanisms of soil cadmium under different contamination scenariosYang Xiao, Yihang Wang, Le Lin, et al.
Materials (Basel, Switzerland)|May 28, 2022
Hydration and Mechanical Properties of Blended Cement with Copper Slag Pretreated by Thermochemical ModificationDaolin Wang, Qinli Zhang, Yan Feng, et al.
Environmental Pollution (Barking, Essex : 1987)|December 9, 2024
Natural factor-based spatial prediction and source apportionment of typical heavy metals in Chinese surface soil: Application of machine learning modelsJin Chao, Huangling Gu, Qinpeng Liao, et al.
Scientific Data|March 27, 2026
FePTP: A text-mined dataset of transformation pathways among iron-containing phasesLe Lin, Changhai Ren, Yang Xiao, et al.
Environmental Research|February 8, 2026
Predicting heavy metal distribution coefficient in global soil via machine learning: the effect of mineral heterogeneityWenping Zuo, Huangling Gu, Qinpeng Liao, et al.
Nature Communications|March 27, 2025
Global and regional patterns of soil metal(loid) mobility and associated risksChongchong Qi, Tao Hu, Yi Zheng, et al.
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