Qin Kang - Shaanxi Key Laboratory of Industrial Automation, Shaanxi University of Technology

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论文共 21 篇作者统计合作学者相似作者

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Machine Learning Accelerates Design of Bilayer-Modified Graphene Hydrogen Storage Materials

Zepeng Jia,Sen Lu,Pei Song,Tiren Peng,Zhikai Gao, Zhiguo Wang, Qi Jiang,Xue Bai,Hong Cui,Weizhi Tian,Rong Feng,Qin Kang,Zhiyong Liang,Hongkuan Yuan

SEPARATION AND PURIFICATION TECHNOLOGY (2025)

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Symbolic Transform Optimized Convolutional Neural Network Model for High-Performance Prediction and Analysis of MXenes Hydrogen Evolution Reaction Catalysts

Sen Lu,Pei Song,Zepeng Jia,Zhikai Gao, Zhiguo Wang,Tiren Peng,Xue Bai, Qi Jiang,Hong Cui,Weizhi Tian,Rong Feng,Zhiyong Liang,Qin Kang, Lingxia Jin,Hongkuan Yuan

International Journal of Hydrogen Energy (2024): 200-209

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Heterojunction of MXenes and MN4–graphene: Machine Learning to Accelerate the Design of Bifunctional Oxygen Electrocatalysts

Xue Bai,Sen Lu,Pei Song,Zepeng Jia,Zhikai Gao,Tiren Peng,Zhiguo Wang,Qi Jiang,Hong Cui,Weizhi Tian,Rong Feng,Zhiyong Liang,Qin Kang,Hongkuan Yuan

JOURNAL OF COLLOID AND INTERFACE SCIENCE (2024): 716-725

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Novel NLi4-BGra/MgH2-based Heterojunctions for Efficient Hydrogen Storage and Modulation of Hydrogen-Desorption Temperature Ranges

Qi Jiang,Zepeng Jia,Sen Lu,Pei Song,Zhikai Gao, Zhiguo Wang,Tiren Peng,Xue Bai,Hong Cui,Weizhi Tian,Rong Feng,Qin Kang,Zhiyong Liang,Hongkuan Yuan

CERAMICS INTERNATIONALno. 13 (2024): 23058-23069

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Enhanced Learning Loop Framework Accelerates Screening of Bimetallic Catalysts with High Oxygen Reduction Properties in Different Coordination Environments

Pei Song,Zepeng Jia,Sen Lu, Zhiguo Wang,Tiren Peng,Zhikai Gao,Xue Bai, Qi Jiang,Hong Cui, Weizhi Tian,Rong Feng,Zhiyong Liang,Qin Kang,Hongkuan Yuan

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2024): 305-315

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Research progress on doping modification of Ca3Co4O9 thermoelectric materials: a review

Junfei Fang,Hang Yang, Lei Liu,Qin Kang,Yuchun Gou

Journal of Materials Scienceno. 6 (2024): 1-30

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Bilayer MN4-O-MN4 by Bridge-Bonded Oxygen Ligands: Machine Learning to Accelerate the Design of Bifunctional Electrocatalysts

Pengyue Shan,Xue Bai,Qi Jiang,Yunjian Chen,Sen Lu,Pei Song,Zepeng Jia,Taiyang Xiao,Yang Han,Yazhou Wang,Tong Liu,Hong Cui,Rong Feng,Qin Kang,Zhiyong Liang,Hongkuan Yuan

Renewable energy（2023）

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Density Functional Theory Study of Superalkali NLi4-Decorated Graphdiyne Nanosheets As Hydrogen Storage Materials

Qi Jiang,Xue Bai,Zepeng Jia,Sen Lu,Pei Song,Yunjian Chen,Pengyue Shan,Hong Cui,Rong Feng,Qin Kang,Zhiyong Liang,Hongkuan Yuan

ACS APPLIED NANO MATERIALSno. 15 (2023): 14063-14075

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Multielement Magnesium-Based Alloys Via Machine Learning Screening for Fuel Cell Bipolar Plates

Xue Bai,Qi Jiang,Sen Lu,Pei Song,Zepeng Jia,Pengyue Shan,Yunjian Chen,Hong Cui,Rong Feng,Zhiyong Liang,Qin Kang,Yazhou Wang,Naigen Zhou,Hongkuan Yuan

JOURNAL OF PHYSICAL CHEMISTRY Cno. 32 (2023): 16162-16174

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M-N4-Gr/MXene Heterojunction Nanosheets As Oxygen Reduction and Evolution Reaction Catalysts: Machine Learning and Density Functional Theory Insights

Yunjian Chen,Hong Cui,Qi Jiang,Xue Bai,Pengyue Shan,Zepeng Jia,Sen Lu,Pei Song,Rong Feng,Qin Kang,Zhiyong Liang,Hongkuan Yuan

ACS Applied Nano Materialsno. 9 (2023): 7694-7703

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