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Papers citing MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning**

  1. The synthesis, characterization and applications of metal-organic frameworks

    Chinese Science Bulletin (Chinese Version) · 2025

    Ming‐Liang Gao, Tianwei Xue, Jiangnan Li, Lixia Guo, He-Qi Zheng, Jingxiao Lu, Peng Li, Sihai Yang⧫, Yuanjing Cui, Guodong Qian, Gang Xu, Hai‐Long Jiang

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  2. Identifying MOFs for electrochemical energy storage via density functional theory and machine learning

    npj Computational Materials · 2025

    Tian Shi Sun, Zhenxiang Wang, Liang Zeng, Guang Feng

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  3. Advancing Metal–Organic Framework‐Based Composites for Effective Chemical Warfare Agent Detoxification under Real‐World Conditions

    Advanced Materials · 2025

    Zhihua Cheng, Kira M. Fahy, Gregory W. Peterson, Kent O. Kirlikovali, Omar K. Farha

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  4. Harnessing stimuli-responsive moieties for next-gen smart metal-organic frameworks (MOFs): Designing strategies, key advancements and future perspectives

    Applied Materials Today · 2025

    Souvik Mondal, Saptarshi Roy, Mohamed Ksibi, Md. Ahmaruzzaman

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  5. Symmetry is the Key to the Design of Reticular Frameworks

    Advanced Materials · 2025

    Andrea Darù, John Stuart Anderson, Davide Maria Proserpio, Laura Gagliardi

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  6. Powder X-ray diffraction patterns based deep learning for the prediction of adsorption in metal-organic frameworks

    Separation and Purification Technology · 2025

    Zhenglu Yang, Jiyu Cui, Jiyu Cui, Lifeng Yang, Xian Suo, Xian Suo, Xili Cui, Huajun Chen, Huabin Xing

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  7. Machine learning-guided design of metal-organic frameworks for efficient H2S/CH4 separation

    Journal of Membrane Science · 2025

    Yanjing He, Rongmei Han, Min Wang, Zhengqing Zhang, Chongli Zhong

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  8. A step towards rational design of hierarchical porous MOFs architectures for emerging practical implementations

    Chemical Engineering Journal · 2025

    Muhammad Umar Farooq, Rustem Zairov, Marsil K. Kadirov, Oleg Gerol'dovich Sinyashin, Bassim Arkook, Moussab Harb

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  9. Deciphering Self-Assembly Mechanisms of IRMOF- n -Inspired Three-Dimensional Cubic-Symmetry Nanoporous Crystals from Multiscale Simulations

    Chemistry of Materials · 2025

    Katherine Ardila, Tsung-Wei Liu, Diego A. Gómez‐Gualdrón, Alexander J. Pak

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  10. Multiscopic Microenvironment Engineering in Nitrate Electrocatalytic Reduction

    Advanced Functional Materials · 2025

    Lin Gu, Yuting Cong, Ziyang Wu, Fengting Xie, Yilong Hua, Hui Ling Xu, Jianping Yang

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  11. Structure and Synthesizability of Iron–Sulfur Metal–Organic Frameworks

    Journal of the American Chemical Society · 2025

    Jianming Mao, Ningxin Jiang, Andrea Darù, Alexander S. Filatov, Jessica E. Burch, Jan Hofmann, Simon M. Vornholt, Karena W. Chapman, John Stuart Anderson, Andrew L. Ferguson

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  12. Function–Structure–Synthesis: Machine Learning Enabled Closed-Loop Design of Biomass-Derived Porous Carbon Materials

    ACS Sustainable Chemistry & Engineering · 2025

    Xiaotong Sun, Ruili Li, Bowen Zhang, Hui Wang, Yujun Cheng, Jianping Guan, Qi Liu, Xiaoqing Chen

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  13. Dynamic Machine Learning‐Driven Optimization of Microwave‐Synthesized Photocatalysts for Enhanced Hydrogen Peroxide Production

    ChemCatChem · 2025

    Jiacheng Li, Jiaxuan Wang, Tiwei He, Zenan Li, Haojie Xu, Zhenglong Fan, Fan Liao, Yang Liu, Zhenhui Kang

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

    Trends in Food Science & Technology · 2025

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

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  15. A one-shot automated framework based on large language model and AutoML: Accelerating the design of porous carbon materials and carbon capture optimization

    Separation and Purification Technology · 2025

    Lin Hu, Zhaorong Zhou, Guozhu Jia

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  16. Accelerating the discovery of stable metal–organic frameworks for ethane/ethylene separation using data mining and multitarget screening

    Separation and Purification Technology · 2025

    Shixiang Tang, Haolun Yuan, Ruihan Wang, Dingguo Xu

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  17. Comparison of laboratory-acquired ZIF-8 drug delivery-related parameters with literature-based data via machine learning tools

    Materials Today Chemistry · 2025

    Niki Pouyanfar, Niloofar Masoumi, Mahnaz Ahmadi, Seyed Mohammad Ayyoubzadeh, Golrokh Farnam, Elham Asadian, Farshid Sefat, Farshad H. Shirazi, Fatemeh Ghorbani‐Bidkorbeh

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  18. Machine Learning-Guided Conductivity Prediction in 2D Organic Metal Chalcogenides for Accelerated Electromagnetic Wave Absorber Design

    ACS Applied Materials & Interfaces · 2025

    Ruru Gao, Hongcheng Shang, Qinglin Zhou, Bao-Feng Tan, Xiu-Shen Wei, Jinghui Zhang, Yingzhi Jiao, Weijin Li

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  19. Artificial Intelligence Paradigms for Next-Generation Metal–Organic Framework Research

    Journal of the American Chemical Society · 2025

    Aydın Özcan, François‐Xavier Coudert, Sven M. J. Rogge, Greta Heydenrych, Dong Fan, Antonios P. Sarikas, Seda Keskın, Guillaume Maurin, George E. Froudakis, Stefan Wuttke, İlknur Eruçar

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  20. Conversational Large-Language-Model Artificial Intelligence Agent for Accelerated Synthesis of Metal–Organic Frameworks Catalysts in Olefin Hydrogenation

    ACS Nano · 2025

    Jing Lin, Danfeng Zhao, Shaopeng Lu, Rushuo Li, Xinmeng Xu, Zhaokun Wang, Wenqing Li, Yujing Ji, Chenjun Zhang, Lei Shi, Jin Xu, Hongyi Gao, Ge Wang

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  21. Identification of Metal–Organic Frameworks for near Practical Energy Limit CO 2 Capture from Wet Flue Gases: An Integrated Atomistic and Process Simulation Screening of Experimental MOFs

    ACS Central Science · 2025

    Ohmin Kwon, Marco Gibaldi, Kasturi Nagesh Pai, Arvind Rajendran, Tom K. Woo

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  22. High-precision prediction of fluorescence wavelength of organic based on ensemble automatic machine learning method and online querying

    Dyes and Pigments · 2025

    Shao Zhen Zhao, Jiadong Li, Lingjun Wu, Xiaoyan Zheng, Anping Tang, Wanqiang Liu

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  23. Machine learning optimized adsorption heat transformations from adsorbents screening to enhanced performances

    Energy Conversion and Management · 2025

    Bo Han, Anutosh Chakraborty

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  24. Strategies to Optimize Metal–Organic Frameworks for Efficient Electrocatalytic CO 2 Reduction

    Advanced Functional Materials · 2025

    Meng‐Hua Tang, Zhi‐Wen Yang, Hang Xu, Bin Zhao

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  25. In situ monitoring nucleation and growth of metal organic frameworks: device, mechanism and application

    TrAC Trends in Analytical Chemistry · 2025

    Xiaohui Wen, Juan He, Xiaoying Huang, Zhengjun Gong, Xiandeng Hou

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  26. From Algorithms to Applications: A Comprehensive Review of Machine Learning in Computational Materials Science

    Archives of Computational Methods in Engineering · 2025

    Yanbing Guo, Yongheng Wang, Wang Zhang, Zhikang Shen, Li Zeng

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  27. High-Performance Polyimide Design: Machine Learning–Accelerated Multiobjective Optimization

    ACS Applied Materials & Interfaces · 2025

    Yu Zhang, Tongle Xu, Luling He, MA Wei-bin, Xiong Li, Minjie Li, Guangrui Xu, Wei Lv, Peng Ding

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  28. Predicting the synthesizability of inorganic crystals by bridging crystal graphs and phonon dynamics

    Chinese Physics B · 2025

    Mei Ma, Wei Ma, Le Gao, Zongguo Wang, Hao 昊 Liu 刘

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  29. Accelerating the discovery and optimization of metal-organic framework materials via machine learning

    Advances in Colloid and Interface Science · 2025

    Hong Wang, Liang Yang, Deying Leng, Yanhai Du, Hao Ning

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

    Materials Today Communications · 2025

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

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  31. Transfer learning-based modeling of synthesis-particle size relationships in metal-organic frameworks

    Nano Trends · 2025

    Yuncheng Du

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  32. AI-driven design of powder-based nanomaterials for smart textiles: from data intelligence to system integration

    Advanced Powder Materials · 2025

    Zihui Liang, Yun Deng, Zhicheng Shi, Xiaohong Liao, Huiyi Zong, Lizhi Ren, Xiangzhe Li, Xinyao Zeng, Peiying Hu, Wei Ke, Bing Wu, Kai Wang, Jin Wen Qian, Weilin Xu, Fengxiang Chen

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  33. Photoswitching Conduction in Framework Materials

    Advanced Functional Materials · 2025

    Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozłowska

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  34. Review of Nanoscale Metal–Organic Frameworks as Flame-Retardants for Polymers

    ACS Applied Nano Materials · 2025

    Wang Zhan, Chang Eun Song, Qinghong Kong, Lixia Li, Le Chen, Mingyi Chen, Minxue Zheng, Juncheng Jiang

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  35. Advancing Environmental Remediation with Metal–Organic Frameworks: Perspectives on Green Synthesis, Scale‐Up Strategies, Techno‐Economic Analysis, and Life Cycle Assessment

    Advanced Materials Technologies · 2025

    Pallavi Singh, Sugandha Panwar, Pragnesh N. Dave

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  36. Two Birds, One Stone: Smart MOF Nanozymes for Dual Catalysis and Theranostics

    Small · 2025

    Mohammed Ali Dheyab, Wesam Abdullah, Azlan Bin Abdul Aziz, Nik Noor Ashikin Nik Ab Razak, Nursakinah Suardi, Saleh T. Alanezi, Mahmood Subhi Jameel, Farhank Saber Braim, Firas Fohely, Pegah Moradi Khaniabadi, Nazila Oladzadabbasabadi, Mehran Ghasemlou

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  37. Uncovering the Multifunctional Roles of Metal‐Organic Frameworks in Protecting Lithium Metal Anodes Assisted by Large Language Models

    Israel Journal of Chemistry · 2025

    Xinyu Wang, Jiaxin Li, Chunpeng Yang

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  38. Comparing Similarity Measures: Applications in Mining Frequent Closed Patterns

    Lecture notes in networks and systems · 2025

    Tu Tran Cam, Dinh Hung

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  39. Converging pathways of microfluidic metal-organic framework and artificial intelligence: A novel research frontier

    Chemical Engineering Journal · 2025

    Aslam Hossain, Zhengyou Li, P.D. Kuznetsova, Ilia A. Pankin, Alexander V. Soldatov, Jun Ho Shim

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  40. Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

    Advanced Functional Materials · 2025

    Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang

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  41. Chiral SURMOFs for Vibrational Circular Dichroism: Multiscale Modeling and Experimental Insights

    Advanced Functional Materials · 2025

    Ana Claudia Fingolo, Nadine von Coelln, Benedikt Zerulla, Marjan Krstić, Christian Huck, Thomas G. Mayerhöfer, Christoph Krafft, Petra Tegeder, Carsten Rockstuhl, Christof Wöll

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  42. Intelligent food preservation systems based on MOFs-AI integration: technological breakthroughs and developmental trends

    Food Chemistry · 2025

    Xin Ding, Nasi Ai, Yiming Zhao, Lingyun Li, Ge Chen, Donghui Xu, Xiaomin Xu, Lin Qin, Jing Chen, Guangyang Liu

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  43. Scalable and reproducible sub-5 nm manufacturing for next-generation devices

    International Journal of Extreme Manufacturing · 2025

    Lijuan Chen, Sihai Luo, Dongxu Yang, Qi Yuan, Yingfang Zhang, Bai Tao Sun, Jian Lv, Xiaoliang Chen, Hongmiao Tian, Xiangming Li, Fenggang Ren, Yi Lv, Stefan Alexander Maier, Jinyou Shao

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  44. Machine learning accelerates the development of metal–organic frameworks

    Elsevier eBooks · 2025

    Yujing Ji, Hongyi Gao

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  45. Thermodynamic trends for carbon dioxide and hydrogen adsorption on MOFs

    Elsevier eBooks · 2025

    Bo Han, Anutosh Chakraborty

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  46. Machine learning to design metal–organic frameworks: progress and challenges from a data efficiency perspective

    Materials Horizons · 2025

    Diego A. Gómez‐Gualdrón, Tatiane Gercina de Vilas, Katherine Ardila, Fernando Fajardo-Rojas, Alexander J. Pak

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  47. CIF2MOFNet : A deep learning model with multi‐dimensional coordinate features to accelerate MOF screening for CO 2 capture

    AIChE Journal · 2025

    Shounian Chen, Yan Chen, Zutao Zhu, Zihao Wang, Xiangping Zhang, Zhongmei Li, Wenli Du, Chenglin Chang, Weifeng Shen

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  48. Prediction of COF Synthesis Reaction Conditions Based on Data Mining and Machine Learning

    ACS Applied Polymer Materials · 2025

    Jinjin Zhao, Mengwen Yan, Zeyu Shi, Chao Zhao, Lei Qi, Qing Hao, Hong Liu

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  49. Machine Learning for Time-Resolved Selectivity Analysis in Methanol-To-Olefins Reaction

    Journal of Chemical Information and Modeling · 2025

    Tenghao Xi, Miao Yang, Xiaoguang Wang

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  50. Toward smart CO 2 capture by the synthesis of metal organic frameworks using large language models

    Digital Discovery · 2025

    Hossein Mashhadimoslem, Mohammad Ali Abdol, Kourosh Zanganeh, Ahmed Shafeen, Encheng Liu, Sohrab Zendehboudi, Ali Elkamel, Aiping Yu

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