BetaCitation Atlas

RESEARCH PAPER · Computational Materials Science · 2017

Data mining assisted materials design of layered double hydroxide with desired specific surface area

Biao Hu, Kailiang Lu, Qing Zhang, Xiaobo Ji, Wencong Lu

Read original paper ↗

See where this research leads.

25 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

Data mining assisted materials design of layered double hydroxide with desired specific surface areaOriginalEnhanced works of separation for (0 0 0 1)ZnO|(1 1 1)ZrO2 interfaces via ion-doping in ZnO: Data-mining and density function theory study7An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction65Predicting specific surface areas of layered double hydroxides based on support vector regression integrated with a residual bootstrapping method4Material data mining in Nianyi Chen's scientific family4Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods79Using Data Mining To Search for Perovskite Materials with Higher Specific Surface Area44A novel approach to predict green density by high-velocity compaction based on the materials informatics method8Prediction of liquidus temperature for complex electrolyte systems Na3AlF6-AlF3-CaF2-MgF2-Al2O3-KF-LiF based on the machine learning methods14Data analysis of multi-dimensional thermophysical properties of liquid substances based on clustering approach of machine learning13Machine learning in materials genome initiative: A review231Fuel Ratio Optimization of Blast Furnace Based on Data Mining25Synthesis and Characterization of a New Monometallic Manganese Layered Double Hydroxide with Unique Redox Properties0Machine Learning Aided Design of Polymer with Targeted Band Gap Based on DFT Computation57Machine Learning Aided Discovery of the Layered Double Hydroxides with the Largest Basal Spacing for Super-Capacitors14Synthesis and characterization of a new monometallic layered double hydroxide using manganese16Machine Learning‐Directed Fast and High‐Throughput Acquisition of High‐Efficiency Microwave Absorbents From Infinite Design Space33Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations32OCPMDM 2.0: An intelligent solution for materials data mining6Machine learning aided design of Bi2WO6/MIL-53(Al) nanocomposites11Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility6Discovery of multi-metal-layered double hydroxides for decontamination of iodate by machine learning-assisted experiments7Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10MXene-based hybrid architectures for potassium-ion and aluminium-ion battery systems: Design strategies and mechanism insights0Comparative assessment of dilute alloys and complex concentrated alloys: Design principles, processing, mechanisms, properties, and sustainability0Machine learning-driven intelligent optimization of layered double hydroxides-peroxymonosulfate system for antibiotic degradation: Interactive effect analysis and precise prediction0

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

25 direct citing papers saved.

  1. Enhanced works of separation for (0 0 0 1)ZnO|(1 1 1)ZrO2 interfaces via ion-doping in ZnO: Data-mining and density function theory study

    Computational Materials Science · 2017-11-06

    Wenming Sun, Liang Zhang, Yanpeng Zhang, Jing Liu, Hong Wang, Yuxiang Bu

    Read original paper ↗ ·

  2. An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction

    Computational Materials Science · 2017-11-25

    Xue Feng Jiang, Haiqing Yin, Cong Zhang, Rui-Jie Zhang, Kai-Qi Zhang, Zhenghua Deng, Guoquan Liu, Xuanhui Qu

    Read original paper ↗ ·

  3. Predicting specific surface areas of layered double hydroxides based on support vector regression integrated with a residual bootstrapping method

    Journal of Mathematical Chemistry · 2018-02-20

    Xiuyun Zhai, Mingtong Chen, Wencong Lu, Dongping Chang

    Read original paper ↗ ·

  4. Material data mining in Nianyi Chen's scientific family

    Journal of Chemometrics · 2018-02-27

    Wencong Lu, Wei Lv, Qing Zhang, Kailiang Lu, Xiaobo Ji

    Read original paper ↗ ·

  5. Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods

    Computational Materials Science · 2018-05-25

    Xiuyun Zhai, Mingtong Chen, Wencong Lu

    Read original paper ↗ ·

  6. Using Data Mining To Search for Perovskite Materials with Higher Specific Surface Area

    Journal of Chemical Information and Modeling · 2018-11-20

    Shi Li, Dongping Chang, Xiaobo Ji, Wencong Lu

    Read original paper ↗ ·

  7. A novel approach to predict green density by high-velocity compaction based on the materials informatics method

    International Journal of Minerals Metallurgy and Materials · 2019-02-01

    Kai-Qi Zhang, Haiqing Yin, Xue Feng Jiang, Xiuqin Liu, Fei He, Zhenghua Deng, Dil Faraz Khan, Qingjun Zheng, Xuanhui Qu

    Read original paper ↗ ·

  8. Prediction of liquidus temperature for complex electrolyte systems Na3AlF6-AlF3-CaF2-MgF2-Al2O3-KF-LiF based on the machine learning methods

    Chemometrics and Intelligent Laboratory Systems · 2019-04-04

    Hui Feng Lu, Xiaojun Hu, Bin Cao, Wanqiu Chai, Feiya Yan

    Read original paper ↗ ·

  9. Data analysis of multi-dimensional thermophysical properties of liquid substances based on clustering approach of machine learning

    Chemical Physics Letters · 2019-04-29

    Gota Kikugawa, Yuta Nishimura, Koji Shimoyama, Taku Ohara, Tomonaga Okabe, Fumio S. Ohuchi

    Read original paper ↗ ·

  10. Machine learning in materials genome initiative: A review

    Journal of Material Science and Technology · 2020-05-03

    Yingli Liu, Chen Xu Niu, Zhuo Wang, Yong Gan, Yan Hong Zhu, Shuhong Sun, Tao Shen

    Read original paper ↗ ·

  11. Fuel Ratio Optimization of Blast Furnace Based on Data Mining

    ISIJ International · 2020-09-16

    Xiuyun Zhai, Mingtong Chen, Wencong Lu

    Read original paper ↗ ·

  12. Synthesis and Characterization of a New Monometallic Manganese Layered Double Hydroxide with Unique Redox Properties

    ChemRxiv · 2020-10-01

    Damien Cornu, Romain Coustel, Aurélien Renard, Pierrick Durand, Cédric Carteret, Ch. Ruby

    Read original paper ↗ ·

  13. Machine Learning Aided Design of Polymer with Targeted Band Gap Based on DFT Computation

    The Journal of Physical Chemistry B · 2021-01-07

    Pengcheng Xu, Tian Lu, Lifei Ju, Lumin Tian, Minjie Li, Wencong Lu

    Read original paper ↗ ·

  14. Machine Learning Aided Discovery of the Layered Double Hydroxides with the Largest Basal Spacing for Super-Capacitors

    International Journal of Electrochemical Science · 2021-10-12

    Kailiang Lu, Dongping Chang, Xiaobo Ji, Minjie Li, Wencong Lu

    Read original paper ↗ ·

  15. Synthesis and characterization of a new monometallic layered double hydroxide using manganese

    Dalton Transactions · 2022-01-01

    Damien Cornu, Romain Coustel, Guillaume Renaudin A, Guillaume Rogez, Aurélien Renard, Pierrick Durand, Cédric Carteret, Ch. Ruby

    Read original paper ↗ ·

  16. Machine Learning‐Directed Fast and High‐Throughput Acquisition of High‐Efficiency Microwave Absorbents From Infinite Design Space

    Advanced Functional Materials · 2023-08-24

    Renchao Che, Zhengchen Wu, Bin Quan, Ruixuan Zhang, Huiran Zhang, Jincang Zhang, Wencong Lu

    Read original paper ↗ ·

  17. Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations

    Results in Materials · 2023-09-01

    Desmond Edem Primus Klenam, Tabiri Kwayie Asumadu, Mobin Vandadi, Nima Rahbar, Fred McBagonluri, Winston Oluwole Soboyejo

    Read original paper ↗ ·

  18. OCPMDM 2.0: An intelligent solution for materials data mining

    Chemometrics and Intelligent Laboratory Systems · 2023-10-29

    Dongping Chang, Pengcheng Xu, Minjie Li, Wencong Lu

    Read original paper ↗ ·

  19. Machine learning aided design of Bi2WO6/MIL-53(Al) nanocomposites

    Computational Materials Science · 2023-12-23

    Xiuyun Zhai, Mingtong Chen

    Read original paper ↗ ·

  20. Machine learning-driven design of rare metal doped niobium alloys with enhanced strength and ductility

    Journal of Materials Research and Technology · 2025-04-06

    Zhenqiang Xiong, ZhaoKun Song, Jianwei Li, Heran Wang, Xiaoxin Zhang, Bin Liang, Dong Wang

    Read original paper ↗ ·

  21. Discovery of multi-metal-layered double hydroxides for decontamination of iodate by machine learning-assisted experiments

    Journal of Hazardous Materials · 2025-05-26

    Sujeong Lee, Juhwan Noh, Ho Jin Ryu

    Read original paper ↗ ·

  22. Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework

    Next research. · 2025-12-01

    Desmond Edem Primus Klenam

    Read original paper ↗ ·

  23. MXene-based hybrid architectures for potassium-ion and aluminium-ion battery systems: Design strategies and mechanism insights

    Advanced Composites and Hybrid Materials · 2026-05-01

    K. Karuppasamy, Ganesh Kumar Veerasubramani, Palanivel Molaiyan, Eswaravara Prasadarao Komarala, Vasanth Rajendiran Jothi, Dhanasekaran Vikraman, Dr. Hossein Rostami, Hari Vignesh Ramasamy, Georgios N. Karanikolos, Min Jae Ko, Ali AbdulKareem AlHammadi, Hyun‐Seok Kim, Mohit Saraf, Ulla Lassi, Akram AlFantazi

    Read original paper ↗ ·

  24. Comparative assessment of dilute alloys and complex concentrated alloys: Design principles, processing, mechanisms, properties, and sustainability

    Journal of Alloys and Compounds Communications · 2026-07-18

    Desmond Edem Primus Klenam, Tabiri Kwayie Asumadu, Michael Oluwatosin Bodunrin, Winston Oluwole Soboyejo

    Read original paper ↗ ·

  25. Machine learning-driven intelligent optimization of layered double hydroxides-peroxymonosulfate system for antibiotic degradation: Interactive effect analysis and precise prediction

    Journal of Cleaner Production · 2026-10-01

    Mingyao Yuan, Jia Ma, Na Huang, Rui Cao, Zhenxing Zeng, Yanzong Zhang, Guochun Lv, Shihuai Deng, Xiaojing Wang

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