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RESEARCH PAPER · Materials Research Bulletin · 2017

Prediction and synthesis of novel layered double hydroxide with desired basal spacing based on relevance vector machine

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Prediction and synthesis of novel layered double hydroxide with desired basal spacing based on relevance vector machineOriginalData mining-aided materials discovery and optimization119Predicting specific surface areas of layered double hydroxides based on support vector regression integrated with a residual bootstrapping method4OCPMDM: Online computation platform for materials data mining35Using Data Mining To Search for Perovskite Materials with Higher Specific Surface Area44A novel IRBF-RVM model for diagnosis of atrial fibrillation44Ionic liquid-functionalized LDH as catalytic-initiating nanoparticles for microwave-activated ring opening polymerization of ε-caprolactone14Effects of Immobilized Ionic Liquid on Properties of Biodegradable Polycaprolactone/LDH Nanocomposites Prepared by In Situ Polymerization and Melt-Blending Techniques23Machine Learning Aided Discovery of the Layered Double Hydroxides with the Largest Basal Spacing for Super-Capacitors14Designing bulk metallic glasses materials with higher reduced glass transition temperature via machine learning9A machine learning-based nano-photocatalyst module for accelerating the design of Bi 2 WO 6 /MIL-53(Al) nanocomposites with enhanced photocatalytic activity18Intercalation of Ionic Liquids into LDH Structures for Microwave-Accelerated Polymerizations22Revolutionizing layered double hydroxides for adsorption, catalysis and energy storage through artificial intelligence and machine learning: A critical review3

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  1. Data mining-aided materials discovery and optimization

    Journal of Materiomics · 2017-08-10

    Wencong Lu, Ruijuan Xiao, Jiong Yang, Hong Li, Wenqing Zhang

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  2. 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

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  3. OCPMDM: Online computation platform for materials data mining

    Chemometrics and Intelligent Laboratory Systems · 2018-04-10

    Qing Zhang, Dongping Chang, Xiuyun Zhai, Wencong Lu

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  4. 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

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  5. A novel IRBF-RVM model for diagnosis of atrial fibrillation

    Computer Methods and Programs in Biomedicine · 2019-05-29

    Dongdong Kong, Junjiang Zhu, Shangshi Wu, Chaoqun Duan, Lixin Lu, Dongxing Chen

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  6. Ionic liquid-functionalized LDH as catalytic-initiating nanoparticles for microwave-activated ring opening polymerization of ε-caprolactone

    Reaction Chemistry & Engineering · 2020-01-01

    Sonia Bujok, Magdalena Konefał, Sabina Abbrent, Ewa Pavlová, Ján Svoboda, Olga Trhlíková, Zuzana Walterová, Hynek Beneš

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  7. Effects of Immobilized Ionic Liquid on Properties of Biodegradable Polycaprolactone/LDH Nanocomposites Prepared by In Situ Polymerization and Melt-Blending Techniques

    Nanomaterials · 2020-05-18

    Sonia Bujok, Jiří Hodan, Hynek Beneš

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  8. 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

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  9. Designing bulk metallic glasses materials with higher reduced glass transition temperature via machine learning

    Chemometrics and Intelligent Laboratory Systems · 2022-07-21

    Dongping Chang, Wencong Lu, Gang Wang

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  10. A machine learning-based nano-photocatalyst module for accelerating the design of Bi 2 WO 6 /MIL-53(Al) nanocomposites with enhanced photocatalytic activity

    Nanoscale Advances · 2023-01-01

    Xiuyun Zhai, Mingtong Chen

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  11. Intercalation of Ionic Liquids into LDH Structures for Microwave-Accelerated Polymerizations

    Inorganic Chemistry · 2023-08-28

    Hynek Beneš, Magdalena Konefał, Sonia Bujok, Ondřej Mrózek, Ewa Pavlová, Darina Smržová, P. Ecorchard

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  12. Revolutionizing layered double hydroxides for adsorption, catalysis and energy storage through artificial intelligence and machine learning: A critical review

    Coordination Chemistry Reviews · 2026-03-28

    Priyadarshi Roy Chowdhury, Himani Medhi, Krishna Gopal Bhattacharyya, Chaudhery Mustansar Hussain

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