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Editorial for special issue on intelligent green mining
Aixiang Wu, Ranjith Pathegama Gamage, Raimund Bürger, Qiusong Chen, Zhu’en Ruan
2026,vol. 33,no.7pp. 2095-2097. https://doi.org/10.1007/s12613-026-3531-5
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Advances in tailings thickening: A rheology-oriented review of theory and practice
Aixiang Wu, Zhenqi Wang, Zhu’en Ruan, Pengjie Wu
2026,vol. 33,no.7pp. 2098-2113. https://doi.org/10.1007/s12613-026-3426-5
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Investigation of backfill creep characteristics under different stress levels and initial bearing ages and their effects on strength and permeability
Wei He, Lang Liu, Tiantian Li, Ruofan Wang, Huisheng Qu, Chengcheng Shao, Zihan Wang, Qing Wang
2026,vol. 33,no.7pp. 2114-2128. https://doi.org/10.1007/s12613-025-3351-z
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Experimental investigation on mechanical properties of backfill–rock composite structure under in-situ mining and filling stress loading
Hongjian Lu, Chao Mou, Lang Liu, Sheng Li, Yanbo Zhang, Deqing Gan, Youzhi Zhang, Zhiyi Liu, Zhenlin Xue, Zhiguo Wang
2026,vol. 33,no.7pp. 2129-2142. https://doi.org/10.1007/s12613-025-3322-4
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Effect of blast furnace slag and fly ash on autogenous self-healing in tailings-based cementitious composites
Weizhou Quan, Mamadou Fall
2026,vol. 33,no.7pp. 2143-2162. https://doi.org/10.1007/s12613-026-3393-x
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Optimization in the design of gangue and coal gasification slag-based backfill materials based on the response surface methodology
Wenchang Feng, Dan Kang, Meng Li, Jixiong Zhang, Zhaoyun Zhang, Zhangjie Yin, Yuyang Xia
2026,vol. 33,no.7pp. 2163-2177. https://doi.org/10.1007/s12613-026-3424-7
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Coupled effects of sodium lignosulfonate and water-to-binder mass ratio on rheology, strength and microstructure of high-volume fly ash cemented paste backfill
Haoyan Lyu, Xiaoxiao Cao, Hideki Shimada, Takashi Sasaoka, Akihiro Hamanaka
2026,vol. 33,no.7pp. 2178-2193. https://doi.org/10.1007/s12613-026-3467-9
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Study on the solidification strength of tailings backfill with different particle sizes induced by microbial mineralization under conventional mixing method
Xin Chen, Junhui Zhang, Yunmin Wang, Shengjun Miao, Fangcan Ji, Gensheng Li
2026,vol. 33,no.7pp. 2194-2205. https://doi.org/10.1007/s12613-026-3403-z
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Thermomechanical and microstructural characteristics of cemented backfill incorporating low-dosage polyvinyl chloride powder
Chao Zhang, Jinping Guo, Tingting Li, Weidong Song, Yuan Wang, Abbas Taheri
2026,vol. 33,no.7pp. 2206-2219. https://doi.org/10.1007/s12613-025-3296-2
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Blast furnace slag-based binder as an eco-friendly and cost-effective material in cementitious mine backfill: Mechanisms, applications and future perspectives
Zhuoran Wang, Jixiong Zhang, Haiqiang Jiang, Liang Cui, You Fu, Erol Yilmaz
2026,vol. 33,no.7pp. 2220-2241. https://doi.org/10.1007/s12613-026-3412-y
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Carbon-negative backfill design: Dual functionality of aluminum nanoparticles in strength enhancement and CO2 fixation
Ichhuy Ngo, Liqiang Ma, Ruizhi Yang, Kunpeng Yu, Zhishang Zhang, Chengkun Peng, Hemeng Zhang, Hassan Nasir Mangi
2026,vol. 33,no.7pp. 2242-2254. https://doi.org/10.1007/s12613-025-3326-0
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CO2-driven structural transformation of steel slag into low-carbon cementitious materials for carbon-reducing mine backfill
Bo Su, Xingtong Yue, Ning Shao, Yong Sun, Liancheng Wang, Xiaobo Liu, Jingping Qiu, Yingliang Zhao
2026,vol. 33,no.7pp. 2255-2270. https://doi.org/10.1007/s12613-025-3362-2
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CO2 sequestration performance and microstructural response of a novel modified magnesium-coal-based all-solid waste backfill material
Hua Tao, Shuangming Wang, Junping Cui, Qifeng Jia, Wei Guo, Hehu Zheng
2026,vol. 33,no.7pp. 2271-2283. https://doi.org/10.1007/s12613-025-3356-7
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Investigation of microwave treatment in kimberlite beneficiation for enhanced separation efficiency and sustainable fine waste reduction
Azlan Aslam, Muhammad Rasyid, Arash Rafiei, Ferri Hassani, Agus Sasmito
2026,vol. 33,no.7pp. 2284-2299. https://doi.org/10.1007/s12613-026-3405-x
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Large artificial intelligence models for coal mining: Development, applications and challenges
Guofa Wang, Yi Luo, Lingkai Yang, Dandan Wang, Jian Cheng
2026,vol. 33,no.7pp. 2300-2312. https://doi.org/10.1007/s12613-026-3492-8
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Generative artificial intelligence in extractive metallurgy: Industrial applications, limitations and implementation pathways
Himeshkumar A. Patel, Skand Verma
2026,vol. 33,no.7pp. 2313-2337. https://doi.org/10.1007/s12613-026-3510-x
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Deep learning-driven autonomous spodumene flotation: Integrating theoretical modeling and YOLOv11-M vision systems with semi-industrial trial validation
Tianyou Yu, Yimin Zhu, Jie Liu, Yuexin Han, Yanjun Li
2026,vol. 33,no.7pp. 2338-2355. https://doi.org/10.1007/s12613-026-3494-6
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Event-level abnormal driving behavior detection in mining trucks based on temporal-aware vision-language models
Shaobo Li, Qinghua Gu, Shunling Ruan, Song Jiang
2026,vol. 33,no.7pp. 2356-2371. https://doi.org/10.1007/s12613-026-3451-4
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Geology-informed intelligent prediction of aquifer groutability for water-inrush control in mining with an interpretable hybrid deep learning framework
Wenxin Li, Dan Ma, Xuefeng Gao, Quanhui Liu, Chuanjiu Zhang, Baoli Wang
2026,vol. 33,no.7pp. 2372-2387. https://doi.org/10.1007/s12613-026-3514-6
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Image-based dominant fracture recognition for cloud-model blastability classification in underground stopes: Development and field validation
Jilong Pan, Qinli Zhang, Chundi Ma, Jing Han, Yan Feng
2026,vol. 33,no.7pp. 2388-2402. https://doi.org/10.1007/s12613-026-3505-7
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Intelligent prediction method of rockburst driven by microseismic temporal features in deep near-vertical coal seams
Huicong Xu, Kai Li, Xingping Lai, Pengfei Shan, Bo Zhang, Lianpeng Dai, Shangtong Yang, Qifeng Guo, Xun Xi, Zhongming Yan
2026,vol. 33,no.7pp. 2403-2418. https://doi.org/10.1007/s12613-026-3408-7
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New insight into identification of rock Kaiser effect: A chaotic deep learning model and its application in deep mining
Jiangzhan Chen, Zhangwei Chen, Zhixiang Liu, Xibing Li
2026,vol. 33,no.7pp. 2419-2436. https://doi.org/10.1007/s12613-026-3504-8
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Prediction model for indoor rock compression failure time based on ensemble learning and optimization algorithms
Boyang Zhang, Xiancheng Wang, Fei Ding, Liyuan Yu, Luyuan Wu, Shuai Zhao, Yingkang Weng, Zhaoyang Feng
2026,vol. 33,no.7pp. 2437-2453. https://doi.org/10.1007/s12613-025-3360-y
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Intelligent prediction of deep rock strength based on modified three-dimensional Hoek–Brown criterion
Jiaxin Wang, Hongru Jiang, Shunchuan Wu, Shihuai Zhang, Chaoqun Chu, Xiaoping Zhang, Yingming Xiao
2026,vol. 33,no.7pp. 2454-2472. https://doi.org/10.1007/s12613-026-3513-7
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