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RESEARCH PAPER · Unknown journal · 2021

MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning

Yi Luo, Saientan Bag, Orysia T. Zaremba, Jacopo Andreo, Stefan Wuttke, Manuel M. Tsotsalas, Pascal Friederich

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

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MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine LearningOriginalAn Interpretable Machine Learning Model to Guide the Design of Organic Phosphorus-Containing Flame Retardants for Improving the Limiting Oxygen Index of Epoxy Resins0MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks135A review on metal-organic frameworks for the removal of hazardous environmental contaminants114Graph neural networks for materials science and chemistry860Unveiling the synthesis patterns of nanomaterials: a text mining and meta-analysis approach with ZIF-8 as a case study9Advances in metal-organic frameworks for efficient separation and purification of natural gas55CHEMICAL SPACE ANALYSIS AND PROPERTY PREDICTION FOR CARBON CAPTURE AMINE MOLECULES0State of the Art and Outlook of Data Science and Machine Learning in Organic Chemistry1Recent Advances in Multifunctional Reticular Framework Nanoparticles: A Paradigm Shift in Materials Science Road to a Structured Future47Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and Mofs Using Machine Learning1Synthetic Force-Field Database for Training Machine Learning Models to Predict Mobility-Preserving Coarse-Grained Molecular-Simulation Potentials4Transitioning metal–organic frameworks from the laboratory to market through applied research245Recent progress of top-performing electrocatalytic materials for water oxidation and recent machine learning edge: An overview upto 20242Optimizing the Design of Metal Organic Frameworks for Drug Delivery Applications Through Machine Learning Integration0Large language models for reticular chemistry133

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  1. An Interpretable Machine Learning Model to Guide the Design of Organic Phosphorus-Containing Flame Retardants for Improving the Limiting Oxygen Index of Epoxy Resins

    SSRN Electronic Journal · 2022-01-01

    Zhongwei Chen, Boran Yang, Nannan Song, Tingting Chen, Qingwu Zhang, Changxin Li, Juncheng Jiang, Tao Chen, Yuan Yu, Lian X. Liu

    Read original paper ↗ ·

  2. MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks

    Scientific Data · 2022-03-11

    Aditya Nandy, Gianmarco Terrones, Naveen Arunachalam, Chenru Duan, David W. Kastner, Heather J. Kulik

    Read original paper ↗ ·

  3. A review on metal-organic frameworks for the removal of hazardous environmental contaminants

    Separation and Purification Technology · 2022-10-22

    Changyoon Jeong, Mohd Zahid Ansari, Abdul Hakeem Anwer, Soo‐Hyun Kim, Abu Nasar, Mohd Shoeb, Fouzia Mashkoor

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  4. Graph neural networks for materials science and chemistry

    Communications Materials · 2022-11-26

    Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich

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  5. Unveiling the synthesis patterns of nanomaterials: a text mining and meta-analysis approach with ZIF-8 as a case study

    Digital Discovery · 2023-01-01

    Joseph R. H. Manning, Lev Sarkisov

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  6. Advances in metal-organic frameworks for efficient separation and purification of natural gas

    Chinese Journal of Structural Chemistry · 2023-02-01

    Haiming Yang, Linhao Xue, Xiao‐Gang Yang, Hui Xu, Junkuo Gao

    Read original paper ↗ ·

  7. CHEMICAL SPACE ANALYSIS AND PROPERTY PREDICTION FOR CARBON CAPTURE AMINE MOLECULES

    ChemRxiv · 2023-05-18

    James L. McDonagh, Stamatia Zavitsanou, Alexander Harrison, Dimitry Zubarev, Benjamin H. Wunsch, Theordore van Kessel, Flaviu S. Cipcigan

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  8. State of the Art and Outlook of Data Science and Machine Learning in Organic Chemistry

    Current Organic Chemistry · 2023-08-01

    Ricardo Stefani

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  9. Recent Advances in Multifunctional Reticular Framework Nanoparticles: A Paradigm Shift in Materials Science Road to a Structured Future

    Nano-Micro Letters · 2023-09-22

    Maryam Chafiq, Abdelkarim Chaouiki, Young Gun Ko

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  10. Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and Mofs Using Machine Learning

    SSRN Electronic Journal · 2024-01-01

    Subhadeep Dasgupta, Amal RS, Prabal Kumar Maiti

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  11. Synthetic Force-Field Database for Training Machine Learning Models to Predict Mobility-Preserving Coarse-Grained Molecular-Simulation Potentials

    Journal of Chemical Theory and Computation · 2024-04-09

    Saientan Bag, Melissa K. Meinel, Florian Müller‐Plathe

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  12. Transitioning metal–organic frameworks from the laboratory to market through applied research

    Nature Materials · 2024-08-08

    Ashley M. Wright, Matthew T. Kapelewski, Stefan Marx, Omar K. Farha, William Morris

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  13. Recent progress of top-performing electrocatalytic materials for water oxidation and recent machine learning edge: An overview upto 2024

    Journal of Industrial and Engineering Chemistry · 2024-12-05

    Jayaraman Jayabharathi, Venugopal Thanikachalam, Balakrishnan Karthikeyan, Muthukumaran Sangamithirai, Murugan Vijayarangan

    Read original paper ↗ ·

  14. Optimizing the Design of Metal Organic Frameworks for Drug Delivery Applications Through Machine Learning Integration

    SSRN Electronic Journal · 2025-01-01

    Minoosh Lalinia, Nahid Hassanzadeh Nemati, Tu C. Le, Nancy E. Dávila-Guzmán

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  15. Large language models for reticular chemistry

    Nature Reviews Materials · 2025-01-31

    Zhiling Zheng, Nakul Rampal, Théo Jaffrelot Inizan, Christian Borgs, Jennifer Chayes, Omar M. Yaghi

    Read original paper ↗ ·
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