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RESEARCH PAPER · Chemistry of Materials · 2024

From Synthesis Conditions to UiO-66 Properties: Machine Learning Approach

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From Synthesis Conditions to UiO-66 Properties: Machine Learning ApproachOriginalBenefits and complexity of defects in metal-organic frameworks85Recent developments on the design of advanced porous materials based on Metal Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), and their combinations into composites as sorbents in sample preparation and chromatographic applications0Simultaneous electrochemical determination of Staphylococcus aureus and Listeria monocytogenes based on Ti3C2Tx MXene nanoribbons/copper nanoparticles coupled with aptamer-gated probe/UiO-66 framework2Metal-organic frameworks-based photoelectrochemical Biosensors: From material design to intelligent detection12Precisely Regulating the Three-Dimensional Morphology of COF-Based Architecture via the Alloy-Embedding Strategy as Efficient Photocatalysts2Metal/covalent-organic framework-based microRNA sensing for disease diagnosis18Application of attention-BiLSTM within a deep learning framework for forecasting synthesis conditions of MOF materials1Multiobjective Optimization of Metal–Organic Framework Structural Properties and Synthesis Costs through Machine Learning4Waste upcycling into High-Value MOFs: A Path toward direct Urban mining and sustainable resources recovery14MOF-based nanozymes: Rational design and biomedical applications10MOF-derived nanomaterials: Strategic synthesis, intelligent customization, and their applications in aquatic environments1Recent advances in designing UiO-66-based photocatalysts for CO2 reduction and related photocatalytic applications: Structural tuning and emerging role of machine learning10Problem-driven design of UiO-66-based photocatalysts: From performance limitations to targeted modification strategies3Nanoengineered catalytic metal-organic frameworks for food safety monitoring: rational design strategies and biosensing applications0

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  1. Benefits and complexity of defects in metal-organic frameworks

    Communications Materials · 2024-11-08

    Nora S. Portillo‐Vélez, Juan L. Obeso, José Antonio de los Reyes, Ricardo A. Peralta, Ilich A. Ibarra, Michael Thomas Huxley

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  2. Recent developments on the design of advanced porous materials based on Metal Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), and their combinations into composites as sorbents in sample preparation and chromatographic applications

    Elsevier eBooks · 2024-11-08

    Elizabeth Contreras, Jimena S. Tuninetti, Edgardo A. Fertitta, Matías Rafti

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  3. Simultaneous electrochemical determination of Staphylococcus aureus and Listeria monocytogenes based on Ti3C2Tx MXene nanoribbons/copper nanoparticles coupled with aptamer-gated probe/UiO-66 framework

    Sensing and Bio-Sensing Research · 2025-05-21

    Xiaohua Jiang, Zhiwen Lv, Changquan Rao, Xiaowen Chen

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  4. Metal-organic frameworks-based photoelectrochemical Biosensors: From material design to intelligent detection

    Trends in Food Science & Technology · 2025-05-24

    Jiaqi Zhang, Jiaqi Zhang, Xiaobo Zhang, Jingli Yuan, Qiuyue Zheng, Bing Hu, Ronggang Liu, Ruijie Deng, Jijuan Cao

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  5. Precisely Regulating the Three-Dimensional Morphology of COF-Based Architecture via the Alloy-Embedding Strategy as Efficient Photocatalysts

    ACS Applied Polymer Materials · 2025-06-17

    Han Leng, Yulong Xu, Yafei Chen, Jingqi Sun, Jiaxin Li, Yufei Guan, Wei Chen, Yanfeng Zhang, Xuwei Chen

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  6. Metal/covalent-organic framework-based microRNA sensing for disease diagnosis

    Coordination Chemistry Reviews · 2025-08-23

    Hui Li, Shuang Chun Yang, Dong Wang, Bojie Chen, Yuanyuan Chang, Zuo‐Xi Li, Chunxian Guo

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  7. Application of attention-BiLSTM within a deep learning framework for forecasting synthesis conditions of MOF materials

    Materials Today Communications · 2025-09-17

    Ziyue Li, Guangzhen Pan, Yongfeng Li, Tianqi Wang, Yishu Zhang, Xuankai Wang

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  8. Multiobjective Optimization of Metal–Organic Framework Structural Properties and Synthesis Costs through Machine Learning

    Journal of Chemical Information and Modeling · 2025-12-12

    Huafang Zhang, Chunjian Pan, Qi Liang, Longchun Zhong, Wei‐Ping Pan

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  9. Waste upcycling into High-Value MOFs: A Path toward direct Urban mining and sustainable resources recovery

    Waste Management · 2026-03-13

    Bo Han, Jean‐Christophe P. Gabriel

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  10. MOF-based nanozymes: Rational design and biomedical applications

    Biomaterials · 2026-04-07

    Rui Chen, Ying Bao, Rong Huang, Huan Liu, Yang Luo, Dinglin Zhang

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  11. MOF-derived nanomaterials: Strategic synthesis, intelligent customization, and their applications in aquatic environments

    Coordination Chemistry Reviews · 2026-05-22

    Dongrui Zhou, Yulan Tang, Xiaohan Zhang, Zesheng Sheng, Diannan Huang

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  12. Recent advances in designing UiO-66-based photocatalysts for CO2 reduction and related photocatalytic applications: Structural tuning and emerging role of machine learning

    Fuel Processing Technology · 2026-05-28

    Roshanak Jalali, Seyed Reza Shabanian, Mohsen Ghorbani

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  13. Problem-driven design of UiO-66-based photocatalysts: From performance limitations to targeted modification strategies

    Desalination · 2026-06-17

    Zhiying Li, Haopeng Cui, Siyu Huang, Siyu Huang, Tianyi Zhang, Xian Wu, Shoushuang Huang, Shoushuang Huang, Xiaodong Zhang, Zhongxiao Zhang, Ning Liu

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  14. Nanoengineered catalytic metal-organic frameworks for food safety monitoring: rational design strategies and biosensing applications

    Materials Today Nano · 2026-08-01

    Vinish Ranjan Srivastava, Sie Yon Lau, Ranil Coorey, Wei Kitt Wong, Lip Yong Chung, Bey Fen Leo

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