BetaCitation Atlas

RESEARCH PAPER · Journal of Magnesium and Alloys · 2022

High-throughput calculations combining machine learning to investigate the corrosion properties of binary Mg alloys

Yaowei Wang, Tian Xie, Qingli Tang, Mingxu Wang, Tao Ying, Hong Min Zhu, Xiaoqin Zeng

Read original paper ↗

See where this research leads.

78 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

High-throughput calculations combining machine learning to investigate the corrosion properties of binary Mg alloysOriginalAdvanced protective layer design on the surface of Mg-based metal and application in batteries: Challenges and progress51Predicting the Heat of Hydride Formation by Graph Neural Network ‐ Exploring the Structure–Property Relation for Metal Hydrides23Assessment of the Mg–Al–Sb system supported by experiments and extrapolation to the Mg–Al–Sn–Sb quaternary system3Accelerated discovery of magnesium intermetallic compounds with sluggish corrosion cathodic reactions through active learning and DFT calculations47First-Principles Study of F and H Adsorption on Corrosion Resistance of Titanium Bipolar Plates5Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environments26Advances in data‐assisted high‐throughput computations for material design112Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features7A highly degradable Mg-Al-Ca alloy with superior anti-tumor efficacy16Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review21Local descriptors-based machine learning model refined by cluster analysis for accurately predicting adsorption energies on bimetallic alloys27First-principles modeling of corrosion potential/current and its application in AZ and AZ-RE magnesium alloys11A brief review of machine learning-assisted Mg alloy design, processing, and property predictions38The anodic dissolution kinetics of Mg alloys in water based on ab initio molecular dynamics simulations13Two-stage feature selection for machine learning-aided DFT-based surface reactivity study on single-atom alloys3Multi‐objective optimization of three mechanical properties of Mg alloys through machine learning33Study on the crystallographic orientation dependent electrochemical corrosion rates of aluminum and its binary alloys17Synergistic effects of BSA adsorption and shear stress on corrosion behaviors of WE43 alloy under simulated physiological flow field14Discerning the duality of H in Mg: H-induced damage and ductility8Impacts of process parameters on diesel reforming via interpretable machine learning5Rapid prediction of the corrosion behaviour of coated biodegradable magnesium alloys using phase field simulation and machine learning22A surface emphasized multi-task learning framework for surface property predictions: A case study of magnesium intermetallics5Composition and Design Strategies for Magnesium-Based Biodegradable Alloys0Enhancing Protective Oxide Film Formation in Mg-Al-Sn-Gd-Nd-Ca Alloys Via Al-Induced Heterogeneous Nucleation0Enhancing Protective Oxide Film Formation in Mg-Al-Sn-Gd-Nd-Ca Alloys Via Al-Induced Heterogeneous Nucleation0Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering12First-principles investigation of the influence of rare earth element doping on the corrosion characteristics of Mg (0001) surface5Machine learning-assisted prediction and interpretation of electrochemical corrosion behavior in Mg–Li alloys21First-principles study of work functions and micro-galvanic corrosion between Mg and Mg–Dy intermetallics1Machine learning-driven alloy digital design for hydrogen storage: a review12Revealing the optimal cycling intervals and atomic-scale mechanisms of alkaline alloy anodes for solid-state batteries3Corrosion performance prediction of self-healing smart coatings on AZ31 magnesium alloys using feedforward neural network1High-Temperature Measurement Method Based on Ensemble Learning with Combined Dual-Color and Tri-Color Colorimetric Thermometry*0Review: machine learning approaches for diverse alloy systems46Reverse design of Mg-Zn-Mn-Sr-Ca alloys for biodegradable implants by interpretable machine learning and genetic algorithm15Machine learning coupled with an improved exhaustive method-assisted design of a low cost Ti-Al-Cr-Fe-Si series titanium alloy10Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimization approaches41Density of States Prediction by a Metric-Optimized Equivariant Graph Neural Network0Research Progress on Corrosion Behavior of Magnesium Alloy Composites in Practical Service Conditions12The machine learning-based establishment of a predictive model for the soft magnetic properties of FeSiAl alloy1Revisiting the Hydrogen Evolution Kinetics of Magnesium Corrosion: a First-principles Study with Constant Potential Method0Interpretable machine learning design for concurrent and significant enhancement of the mechanical properties and corrosion resistance of low-density Mg-Li alloys21Nanoscale Characterization of Nanomaterial-Based Systems: Mechanisms, Experimental Methods, and Challenges in Probing Corrosion, Mechanical, and Tribological Properties17Corrosion prediction for MAO-coated magnesium using machine learning approach2Data-driven multi-objective synergistic to targeted enhancement framework for high-performance aluminum alloy design2Harnessing the power of α-Mg: Unveiling the matrix phase’s role in Mg alloys from structure to function5Research on the microstructure evolution and degradation behavior of biomedical Mg-Al-Mn-La alloys assisted by machine learning2First-Principles Study on Stability and Hydrogen Evolution Reaction Behavior of Mg17Al12 (001) and Mg24Y5 (001) Surfaces0First-principles investigation of water adsorption and dissociation on the Al/Y-doped Mg (0001) surface0Machine learning with local outlier factor for predicting the electrochemical corrosion behavior of rare-earth-doped Mg alloys in chloride ions2Effect of electrochemical water treatment processes on carbon steel corrosion in urban water supply system0Cytotoxic and Genotoxic Investigation of Nd and Ce Crossover in Cast EZ43 Magnesium Alloy Enriched Using Rare Elements1Enhancing protective oxide film formation in Mg-Al-Sn-Gd-Nd-Ca alloys via Al-induced heterogeneous nucleation1Prediction of mechanical properties of magnesium alloys through machine learning: a review0Influence of gadolinium on mechanical properties of Mg-xGd-7Y-2Zn-1Mn alloys containing long-period stacking ordered and nano-lamellar structures1Thermodynamics-constrained generative adversarial network for synergistic strength-ductility inverse design of rare-earth magnesium alloys0Corrosion behavior of as-cast AZ91 Mg alloy under varying thermo-pressure conditions0Revisiting the cathodic hydrogen evolution kinetics of magnesium corrosion: a first-principles study with constant-potential method0Exceptional mechanical properties by enhanced dislocation behaviors and solute segregation at lamellar structures via rotary swaging and aging treatment in Mg-Y-Zn-Mn alloy0Synchronously enhancing the strength and ductility of industrial-scale Mg-RE-Zn alloys containing LPSO phase via interpretable machine learning1Balancing Reactivity and Ion Transport in Mg Alloy Anodes via Secondary-Phase Engineering1Enhanced corrosion resistance by engineering basal-oriented grains in Mg-Al-Sn-Ca alloys to retard H/O/Cl adsorption through friction stir processing1A survey of machine learning applications for Mg alloys: A promising prospect for current trends and future directions2High-throughput design and machine-learning optimization of SLM-fabricated high-entropy alloy coatings on magnesium alloys1Influence of rare earth-rich structures on the multi-properties of magnesium alloys: A review1Synchronously enhancing growth efficiency and corrosion resistance of plasma electrolytic oxidation coatings on magnesium alloys via interpretable machine learning0Ca-Y-driven co-precipitation and interfacial segregation enabling retarded hydrogen evolution and accelerated passivation in a twin-roll cast dilute Mg-Al-Mn-based alloy0Thermodynamics-governed integration of AI and ICME for materials design: Free-energy landscape and hierarchical entropy0Insights into corrosion and discharge behaviors of Mg-Er binary alloys as anodes for Mg-air batteries0Surface modification of magnesium alloys for biomedical applications: Recent progress and emerging artificial intelligence approaches0Revealing the dynamic evolution of interfacial water during Mg anodic dissolution0Mapping coupled composition-processing effects on the strength and ductility of magnesium alloys with interpretable machine learning0Machine learning for biomaterials design2Electrochemical corrosion behavior of magnesium anodes0First-Principles Study of the Orientation Dependence and Alloying Effects on the Corrosion Behavior of Zinc in Alkaline Environments0Uncertainty-aware active-learning design of high-strength, corrosion-resistant as-extruded Mg–Al–Zn–Mn–Ca–Y alloys using Bayesian neural networks0Atomic-Scale Insights into Corrosion-Resistant Stainless Steels via First-Principles Calculations: A Review0Machine learning for high-performance alloy design: A review0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

78 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. Advanced protective layer design on the surface of Mg-based metal and application in batteries: Challenges and progress

    Journal of Power Sources · 2022-06-19

    Hao Huang, LI Dong-hu, Lifeng Hou, Huayun Du, Huan Jun Wei, Xiaoda Liu, Qian Wang, Yinghui Wei

    Read original paper ↗ ·

  2. Predicting the Heat of Hydride Formation by Graph Neural Network ‐ Exploring the Structure–Property Relation for Metal Hydrides

    Advanced Theory and Simulations · 2022-07-01

    Katarina Batalović, Jana Radaković, Bojana Paskaš Mamula, Bojana Kuzmanović, Mirjana Medić Ilić

    Read original paper ↗ ·

  3. Assessment of the Mg–Al–Sb system supported by experiments and extrapolation to the Mg–Al–Sn–Sb quaternary system

    Calphad · 2022-08-13

    Jiyuan Zhang, Yuan Yuan

    Read original paper ↗ ·

  4. Accelerated discovery of magnesium intermetallic compounds with sluggish corrosion cathodic reactions through active learning and DFT calculations

    Acta Materialia · 2023-06-01

    Yaowei Wang, Qingli Tang, Xinchen Xu, Paul Weng, Tao Ying, Yao Yang, Xiaoqin Zeng, Hong Min Zhu

    Read original paper ↗ ·

  5. First-Principles Study of F and H Adsorption on Corrosion Resistance of Titanium Bipolar Plates

    Metallurgical and Materials Transactions A · 2023-07-11

    Tian Xie, Yao Yang, Jingya Wang, Tao Ying, Zhutian Xu, Xiaoqin Zeng

    Read original paper ↗ ·

  6. Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environments

    Colloids and Surfaces A Physicochemical and Engineering Aspects · 2023-08-21

    Chunyu Qiao, Hong Luo, Xuefei Wang, Hongxu Cheng, Da Bi, Xiaogang Li

    Read original paper ↗ ·

  7. Advances in data‐assisted high‐throughput computations for material design

    Materials Genome Engineering Advances · 2023-09-01

    Dingguo Xu, Qiao Zhang, Xiangyu Huo, Yitong Wang, Mingli Yang

    Read original paper ↗ ·

  8. Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features

    npj Materials Degradation · 2023-09-12

    Elisabeth J. Schiessler, Tim Würger, Bahram Vaghefinazari, Sviatlana V. Lamaka, Robert H. Meißner, Christian Johannes Cyron, Mikhail L. Zheludkevich, Christian Feiler, Roland Can Aydin

    Read original paper ↗ ·

  9. A highly degradable Mg-Al-Ca alloy with superior anti-tumor efficacy

    Journal of Magnesium and Alloys · 2023-09-18

    Qiwen Chen, Yunhao Fan, Shu Dong, Ping Han, Tian Xie, Chenchen Wang, Xiaoqin Zeng, Wenjiang Ding, Zhiqiang Meng, Leyun Wang

    Read original paper ↗ ·

  10. Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review

    Metals · 2023-10-23

    Yanbing Guo, Mingze Sun, Wang Zhang, Lvyuan Wang

    Read original paper ↗ ·

  11. Local descriptors-based machine learning model refined by cluster analysis for accurately predicting adsorption energies on bimetallic alloys

    Journal of Materials Chemistry A · 2023-12-04

    Andrés Felipe Usuga, C. S. Praveen, Aleix Comas‐Vives

    Read original paper ↗ ·

  12. First-principles modeling of corrosion potential/current and its application in AZ and AZ-RE magnesium alloys

    Materials Today Communications · 2024-03-30

    Yuhao Huang, Xumin Zhang, Jia‐Wei Wang, Yiqi Zeng, Xi Zhang, Lan Luo, Yong Liu

    Read original paper ↗ ·

  13. A brief review of machine learning-assisted Mg alloy design, processing, and property predictions

    Journal of Materials Research and Technology · 2024-05-01

    Yanhui Cheng, Lifei Wang, Chaoyang Yang, Yunli Bai, Hongxia Wang, Weili Cheng, Hanuma Reddy Tiyyagura, Alexander A. Komissarov, Kwang Seon Shin

    Read original paper ↗ ·

  14. The anodic dissolution kinetics of Mg alloys in water based on ab initio molecular dynamics simulations

    Materials Genome Engineering Advances · 2024-06-01

    Jieqiong Yan, Xinchen Xu, Gaoning Shi, Yaowei Wang, Chaohong Guan, Yuyang Chen, Yao Yang, Tao Ying, Hong Min Zhu, Qingli Tang, Xiaoqin Zeng

    Read original paper ↗ ·

  15. Two-stage feature selection for machine learning-aided DFT-based surface reactivity study on single-atom alloys

    Modelling and Simulation in Materials Science and Engineering · 2024-06-04

    Viejay Z. Ordillo, Kōji Shimizu, Darwin Barayang Putungan, Alexandra B. Santos-Putungan, Satoshi Watanabe, Rizalinda L. de Leon, Joey Duran Ocon, Karl Ezra Pilario, Allan Abraham B. Padama

    Read original paper ↗ ·

  16. Multi‐objective optimization of three mechanical properties of Mg alloys through machine learning

    Materials Genome Engineering Advances · 2024-06-27

    Wei Gou, Zhang‐Zhi Shi, Yuman Zhu, Xinfu Gu, Fu‐Zhi Dai, Xingyu Gao, Lu‐Ning Wang

    Read original paper ↗ ·

  17. Study on the crystallographic orientation dependent electrochemical corrosion rates of aluminum and its binary alloys

    npj Materials Degradation · 2024-07-16

    Haini Jin, Yudong Sui, Xiaohua Yu, Hao Zhou, Jing Feng, Yehua Jiang

    Read original paper ↗ ·

  18. Synergistic effects of BSA adsorption and shear stress on corrosion behaviors of WE43 alloy under simulated physiological flow field

    Corrosion Science · 2024-07-24

    Jianwei Dai, Juyi Yang, Xiangang Zhang, Lu Zhang, Biwei Sun, Xuan Li, Jing Bai, Feng Xue, Chenglin Chu

    Read original paper ↗ ·

  19. Discerning the duality of H in Mg: H-induced damage and ductility

    International Journal of Plasticity · 2024-08-09

    Yucheng Ji, Fei Shuang, Zhiyang Ni, Chenyang Yao, Xiao Li, Xiaoqian Fu, Zhanghua Chen, Xiaogang Li, Chaofang Dong

    Read original paper ↗ ·

  20. Impacts of process parameters on diesel reforming via interpretable machine learning

    International Journal of Hydrogen Energy · 2024-09-23

    Zhenwei Liang, Jiazhun Huang, Yujia Liu, Tiejun Wang

    Read original paper ↗ ·

  21. Rapid prediction of the corrosion behaviour of coated biodegradable magnesium alloys using phase field simulation and machine learning

    Computational Materials Science · 2024-11-27

    Songyun Ma, Dawei Zhang, Peilei Zhang, Bernd A. Markert

    Read original paper ↗ ·

  22. A surface emphasized multi-task learning framework for surface property predictions: A case study of magnesium intermetallics

    Journal of Magnesium and Alloys · 2024-12-19

    Gaoning Shi, Yaowei Wang, Kun Yang, Yuan Qiu, Hong Min Zhu, Xiaoqin Zeng

    Read original paper ↗ ·

  23. Composition and Design Strategies for Magnesium-Based Biodegradable Alloys

    Biomedical materials for multi-functional applications · 2025-01-01

    Priyabrata Das, Pulak M. Pandey

    Read original paper ↗ ·

  24. Enhancing Protective Oxide Film Formation in Mg-Al-Sn-Gd-Nd-Ca Alloys Via Al-Induced Heterogeneous Nucleation

    SSRN Electronic Journal · 2025-01-01

    Yuanhang Zhao, Dawei Wang, Qihang Gao, Zhi-Zheng Yang, Cheng Wang, Min Zha

    Read original paper ↗ ·

  25. Enhancing Protective Oxide Film Formation in Mg-Al-Sn-Gd-Nd-Ca Alloys Via Al-Induced Heterogeneous Nucleation

    SSRN Electronic Journal · 2025-01-01

    Yuanhang Zhao, Dawei Wang, Qihang Gao, Zhi-Zheng Yang, Cheng Wang, Min Zha

    Read original paper ↗ ·

  26. Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering

    Journal of Materials Science · 2025-02-01

    Guiyang Liu, Qingqing Wu, Yong Ma, Jin Huang, Quan Xie, Qingquan Xiao, Tinghong Gao

    Read original paper ↗ ·

  27. First-principles investigation of the influence of rare earth element doping on the corrosion characteristics of Mg (0001) surface

    Physica B Condensed Matter · 2025-04-14

    Yuqi Gao, Guoning Bai, Hua Hou, Yuhong Zhao, Yongmei Zhang

    Read original paper ↗ ·

  28. Machine learning-assisted prediction and interpretation of electrochemical corrosion behavior in Mg–Li alloys

    Electrochimica Acta · 2025-05-10

    Xu Wang, Yang Li, Jiahao Qian, Rongxin Liao, Xia Li, Yun Zou

    Read original paper ↗ ·

  29. First-principles study of work functions and micro-galvanic corrosion between Mg and Mg–Dy intermetallics

    Modelling and Simulation in Materials Science and Engineering · 2025-05-20

    Mengqin He, Dongwei Wang, Siyu Pan, Yunfei Ding

    Read original paper ↗ ·

  30. Machine learning-driven alloy digital design for hydrogen storage: a review

    Digital Twin · 2025-06-05

    Tianqi Liu, Lufeng Xue, Bo Ci Cheng, Yu Zhao, Bang Dou, Marcelo Paredes, Lu-Kai Song

    Read original paper ↗ ·

  31. Revealing the optimal cycling intervals and atomic-scale mechanisms of alkaline alloy anodes for solid-state batteries

    Nano Energy · 2025-06-09

    Yuping Huang, Shiwei Chen, Xingjian Yu, Jingying Zhou, Chen Su, Yucheng Fu, Yunlong Guo, Shou‐Hang Bo, Hong Min Zhu

    Read original paper ↗ ·

  32. Corrosion performance prediction of self-healing smart coatings on AZ31 magnesium alloys using feedforward neural network

    Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control · 2025-07-02

    J. Alias, Mohd Firdaus Hassan, Nasrul Azuan Alang

    Read original paper ↗ ·

  33. High-Temperature Measurement Method Based on Ensemble Learning with Combined Dual-Color and Tri-Color Colorimetric Thermometry*

    Applied Thermal Engineering · 2025-07-08

    Xutong Tan, Chun Yin, Xuegang Huang, Jiuwen Cao, JunYang Liu

    Read original paper ↗ ·

  34. Review: machine learning approaches for diverse alloy systems

    Journal of Materials Science · 2025-07-17

    Arafat Rahman, Md Sojib Hossain, Abdullah-Bin Siddique

    Read original paper ↗ ·

  35. Reverse design of Mg-Zn-Mn-Sr-Ca alloys for biodegradable implants by interpretable machine learning and genetic algorithm

    Materials & Design · 2025-07-29

    Joung Sik Suh, Jae Hoon Jang, Byeong‐Chan Suh, Jae‐Yeon Kim

    Read original paper ↗ ·

  36. Machine learning coupled with an improved exhaustive method-assisted design of a low cost Ti-Al-Cr-Fe-Si series titanium alloy

    Materials & Design · 2025-08-07

    Yuxin Tan, Ruifeng Dong, Zhiqiang Duan, Huanqing Li, Hua Hou, Yuhong Zhao

    Read original paper ↗ ·

  37. Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimization approaches

    Frontiers in Materials · 2025-08-08

    Hanxuan Wang, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

    Read original paper ↗ ·

  38. Density of States Prediction by a Metric-Optimized Equivariant Graph Neural Network

    Chemistry of Materials · 2025-08-15

    Jiayang Xie, Zhihao Zhang, Xiaoming Cao

    Read original paper ↗ ·

  39. Research Progress on Corrosion Behavior of Magnesium Alloy Composites in Practical Service Conditions

    Advanced Sustainable Systems · 2025-08-20

    Xu Gao, Zhiqi Zhu, Zhiqi Zhu, HanDong Zhang, Jingran Yang, Zhiqin Zhu, Zhiqin Zhu, Santosh Kumar Tiwari

    Read original paper ↗ ·

  40. The machine learning-based establishment of a predictive model for the soft magnetic properties of FeSiAl alloy

    Journal of Magnetism and Magnetic Materials · 2025-10-05

    Chengcheng Liu, Jianfa Feng, Hang Su

    Read original paper ↗ ·

  41. Revisiting the Hydrogen Evolution Kinetics of Magnesium Corrosion: a First-principles Study with Constant Potential Method

    Research Square · 2025-10-30

    Xinchen Xu, Gaoning Shi, Yuyang Chen, Jingya Wang, Leyun Wang, Hong Min Zhu, Xiaoqin Zeng

    Read original paper ↗ ·

  42. Interpretable machine learning design for concurrent and significant enhancement of the mechanical properties and corrosion resistance of low-density Mg-Li alloys

    Journal of Magnesium and Alloys · 2025-11-08

    Lei Jiang, Wentao Zhoutai, Xinbiao Zhang, Zheng Shi, Zhilin Han, Yujie Cui, Jianxin Xie

    Read original paper ↗ ·

  43. Nanoscale Characterization of Nanomaterial-Based Systems: Mechanisms, Experimental Methods, and Challenges in Probing Corrosion, Mechanical, and Tribological Properties

    Nanomaterials · 2025-12-02

    Md. Ashraful Hoque, Chun-Wei Yao

    Read original paper ↗ ·

  44. Corrosion prediction for MAO-coated magnesium using machine learning approach

    Materials Today Communications · 2025-12-09

    Abdelrahman Amin, Ibrahim Awad, Hamdy Ibrahim

    Read original paper ↗ ·

  45. Data-driven multi-objective synergistic to targeted enhancement framework for high-performance aluminum alloy design

    Engineering Applications of Artificial Intelligence · 2025-12-10

    Z.F. Zhang, Dong Liang, Gongbin Tang, Yubo Hua, Bangwei Dong, Zhongwei Liang

    Read original paper ↗ ·

  46. Harnessing the power of α-Mg: Unveiling the matrix phase’s role in Mg alloys from structure to function

    Journal of Magnesium and Alloys · 2025-12-13

    Xun Chen, Yuan Yuan, Xin Zhou, Tao Chen, Ai Tao Tang, Xianhua Chen, Jun Tan, Nele Moelans B, Jürgen Eckert, Fusheng Pan

    Read original paper ↗ ·

  47. Research on the microstructure evolution and degradation behavior of biomedical Mg-Al-Mn-La alloys assisted by machine learning

    Journal of Alloys and Compounds · 2025-12-14

    Xiaoqiang Li, Xiaoyu Hou, X.B. He, Dandan Li, Jinhui Wang, Xingrui Chen, Qichi Le, Dexue Liu, Yunpeng Zhu

    Read original paper ↗ ·

  48. First-Principles Study on Stability and Hydrogen Evolution Reaction Behavior of Mg17Al12 (001) and Mg24Y5 (001) Surfaces

    Journal of Materials Engineering and Performance · 2025-12-15

    Hongji Ding, Lei Hou, Xinzi Yi, Ziqi Wei, Qian Dang, Xuefei Wang, Guohuai Liu, Chi Zhang, Mingming Pan

    Read original paper ↗ ·

  49. First-principles investigation of water adsorption and dissociation on the Al/Y-doped Mg (0001) surface

    Physical Chemistry Chemical Physics · 2026-01-01

    Hongji Ding, Lei Hou, Xinzi Yi, Yuzhe Chen, Chi Zhang, Mingming Pan, Qian Dang, Ziqi Wei, Xuefei Wang, 刘国怀

    Read original paper ↗ ·

  50. Machine learning with local outlier factor for predicting the electrochemical corrosion behavior of rare-earth-doped Mg alloys in chloride ions

    Journal of Materials Science · 2026-01-08

    Huang Qiao, Yucheng Cao, Atwakyire Moses, Hao Wang, Wenhao Li, Ce Jiao, Ding Chen

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.