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Papers citing Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation

  1. A novel 3D terbium metal–organic framework as a heterogeneous Lewis acid catalyst for the cyanosilylation of aldehyde

    RSC Advances · 2021

    Yuqian Liu, Peiran Zhao, Chunying Duan, Cheng He

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  2. Crystalline sponge X-ray analysis coupled with supercritical fluid chromatography: a novel analytical platform for the rapid separation, isolation, and characterization of analytes

    The Analyst · 2021

    Yoshimasa Taniguchi, Mayuka Miwa, Naoki Kitada

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  3. Topological methods for analysis and design of coordination polymers

    Russian Chemical Reviews · 2021

    Eugeny V. Alexandrov, Alexander P. Shevchenko, Nadezhda A. Nekrasova, Vladislav A. Blatov

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  4. Applied Machine Learning for Developing Next‐Generation Functional Materials

    Advanced Functional Materials · 2021

    Filip Dinic, Kamalpreet Singh, Tony Dong, Milad Rezazadeh, Zhibo Wang, Ali Khosrozadeh, Tiange Yuan, Oleksandr Voznyy

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  5. Environmental Applications of Metal−Organic Frameworks

    ACS symposium series · 2021

    Atul Kumar, Suresh Kumar, Surender Duhan, Ashok Kumar, Sunita Devi, Parmod Kumar

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  6. Parametrization of Nonbonded Force Field Terms for Metal–Organic Frameworks Using Machine Learning Approach

    Journal of Chemical Information and Modeling · 2021

    Vadim Korolev, Yuriy M. Nevolin, Thomas A. Manz, Pavel V. Protsenko

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  7. Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption

    Microporous and Mesoporous Materials · 2021

    Ruihan Wang, Yurong Zou, Chunchun Zhang, Xin Wang, Mingli Yang, Dingguo Xu

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  8. A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage

    Computer-aided chemical engineering/Computer aided chemical engineering · 2022

    Teng Zhou, Zihao Wang, Kai Sundmacher

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  9. Application of transfer learning to predict diffusion properties in metal–organic frameworks

    Molecular Systems Design & Engineering · 2022

    Yunsung Lim, Jihan Kim

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  10. Data mining for predicting gas diffusivity in zeolitic-imidazolate frameworks (ZIFs)

    Journal of Materials Chemistry A · 2022

    Panagiotis Krokidas, Stelios Karozis, Salvador Moncho, George Giannakopoulos, Edward N. Brothers, M.E. Kainourgiakis, Ioannis G. Economou, Theodore Steriotis

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  11. Electrochemical activation of CO 2 by MOF-(Fe, Ni, Mn) derivatives of 5-aminoisophthalic acid and the thiazole group influence on its catalytic activity

    New Journal of Chemistry · 2022

    Elvis Robles‐Marín, Marcos Flores-Álamo, Juventino J. Garcı́a

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  12. Nanochannel-based {BaZn}–organic framework for catalytic activity on the cycloaddition reaction of epoxides with CO 2 and deacetalization-Knoevenagel condensation

    Dalton Transactions · 2022

    Hongxiao Lv, Liming Fan, Hongtai Chen, Xiutang Zhang, Yan-Peng Gao

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  13. Research progress in metal–organic frameworks (MOFs) in CO 2 capture from post-combustion coal-fired flue gas: characteristics, preparation, modification and applications

    Journal of Materials Chemistry A · 2022

    Zhiqiang Sun, Yiren Liao, Shilin Zhao, Xuan Zhang, Qi Liu, Xiangzhen Shi

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  14. Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage

    The Journal of Chemical Physics · 2022

    George S. Fanourgakis, Konstantinos Gkagkas, George E. Froudakis

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  15. Chemistry-Encoded Convolutional Neural Networks for Predicting Gaseous Adsorption in Porous Materials

    The Journal of Physical Chemistry C · 2022

    Ting‐Hsiang Hung, Zhi-Xun Xu, Dun‐Yen Kang, Li‐Chiang Lin

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  16. Innovative Separations Research and Development Needs for Advanced Fuel Cycles

    Venue not supplied by source · 2022

    Bruce A. Moyer, Gregg J. Lumetta, Stephanie H. Bruffey, Sarah C. Finkeldei, Ken C. Marsden, Michael Forrest Simpson, Mark Jensen, Peter R. Zalupski, Aurora E. Clark, Ping Xiong Yang, Gregory P. Horne

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  17. Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling

    Computers & Chemical Engineering · 2022

    Zihao Wang, Yageng Zhou, Teng Zhou, Kai Sundmacher

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  18. Importance of Crystalline and Microporous Structures of MOFs for Application to Petrochemical and Related Processes

    Journal of the Japan Petroleum Institute · 2022

    Takanori Miyake, Makoto SANO

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  19. A nanocaged cadmium-organic framework with high catalytic activity on the chemical fixation of CO2 and deacetalization-knoevenagel condensation

    Microporous and Mesoporous Materials · 2022

    Hongxiao Lv, Zhengguo Zhang, Liming Fan, Yan-Peng Gao, Xiutang Zhang

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  20. Accelerated discovery of porous materials for carbon capture by machine learning: A review

    MRS Bulletin · 2022

    Chi Zhang, Yunchao Xie, Chen Xie, Hongxing Dong, Long Zhang, Jian Lin

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  21. Graph neural network predictions of metal organic framework CO 2 adsorption properties

    Computational Materials Science · 2022

    Kamal Kumar Choudhary, Taner Yildirim, Daniel W. Siderius, Aaron Gilad Kusne, Austin McDannald, Diana L. Ortiz‐Montalvo

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  22. Metal–Organic Framework-Based Materials for Adsorption and Detection of Uranium(VI) from Aqueous Solution

    ACS Omega · 2022

    Hongjuan Liu, Tianyu Fu, Yuanbing Mao

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  23. High-throughput predictions of metal–organic framework electronic properties: theoretical challenges, graph neural networks, and data exploration

    npj Computational Materials · 2022

    Andrew Rosen, Victor Fung, Patrick Huck, Cody T. O’Donnell, Matthew K. Horton, Donald G. Truhlar, Kristin Aslaug Persson, Justin M. Notestein, Randall Q. Snurr

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  24. Integrated metal‐organic framework ( MOF ) and pressure/vacuum swing adsorption process design: MOF matching

    AIChE Journal · 2022

    Xiang Zhang, Teng Zhou, Kai Sundmacher

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  25. Systematic Exploration of a Catalytic Metal–Organic Framework/Polyurethane Composite for Medical Device Applications: Effects of MOF Particle Size, MOF Loading, and Polymer Concentration on Composite Material Activity

    Frontiers in Physics · 2022

    Alyssa C. Melvin, Melissa M. Reynolds

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  26. A neural recommender system for efficient adsorbent screening

    Chemical Engineering Science · 2022

    Xiang Zhang, Sahil Sethi, Zihao Wang, Teng Zhou, Zhiwen Qi, Kai Sundmacher

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  27. Application of Fiber Biochar–MOF Matrix Composites in Electrochemical Energy Storage

    Polymers · 2022

    Meixiang Gao, Meng Lu, Xia Zhang, Zhenhui Luo, Jiaqi Xiao

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  28. Superhydrophobic Self-Cleaning Composite of a Metal–Organic Framework with Polypropylene Fabric for Efficient Removal of Oils from Oil–Water Mixtures and Emulsions

    ACS Applied Nano Materials · 2022

    Chiranjib Gogoi, Abhijeet Rana, Subhrajyoti Ghosh, Rushikesh Fopase, Lalit Mohan Pandey, Shyam Biswas

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  29. Synthesis and Shaping of Functionalized Microporous Materials for the Catalytic Transformation of Monosaccharides

    Venue not supplied by source · 2022

    Bakytzhan Yeskendir

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  30. Recent Advances in the Development of Metal–Organic Frameworks for Propylene and Propane Separation

    Energy & Fuels · 2022

    Qi Ding, Sui Zhang

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  31. Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMs

    ACS Applied Materials & Interfaces · 2022

    Hilal Daglar, Seda Keskın

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  32. X-ray Diffraction and Molecular Simulations in the Study of Metal–Organic Frameworks for Membrane Gas Separation

    Langmuir · 2022

    Dun‐Yen Kang, Jong Suk Lee, Li‐Chiang Lin

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  33. Machine-learning-based prediction of hydrogen adsorption capacity at varied temperatures and pressures for MOFs adsorbents

    Journal of the Taiwan Institute of Chemical Engineers · 2022

    Xuan Zhang, Qing-Rong Zheng, Hongzhou He

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  34. Titanium‐based metal‐organic framework MIL‐125(Ti) for the highly selective isolation and purification of immunoglobulin G from human serum

    Journal of Separation Science · 2022

    Zixin Chi, Xi Wu, Qiqi Zhang, Fengyang Zhai, Zesheng Xu, Dandan Zhang, Qing Chen

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  35. MOF‐Based Chemiresistive Gas Sensors: Toward New Functionalities

    Advanced Materials · 2022

    Young‐Moo Jo, Young‐Moo Jo, Yong Kun Jo, Yong Kun Jo, Jong‐Heun Lee, Ho Won Jang, Insung Hwang, Do Joon Yoo

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  36. GCMC and electronic evaluation of pesticide capture by IRMOF systems

    Journal of Molecular Modeling · 2022

    Nailton Martins Rodrigues, Matheus Figueiredo de Souza, José R. S. Politi, João B. L. Martins

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  37. Reproducible sorbent materials foundry for carbon capture at scale

    Cell Reports Physical Science · 2022

    Austin McDannald, Howie Joress, Brian DeCost, Avery E. Baumann, Aaron Gilad Kusne, Kamal Kumar Choudhary, Taner Yildirim, Daniel W. Siderius, Winnie Wong-Ng, Andrew John Allen, Christopher M. Stafford, Diana L. Ortiz‐Montalvo

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  38. Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials

    Nanomaterials · 2022

    Wenjing Guo, Jie Liu, Fan Dong, Ru Chen, Jayanti Das, Weigong Ge, Xiaoming Xu, Huixiao Hong

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  39. Computational discovery of Metal–Organic Frameworks for sustainable energy systems: Open challenges

    Computers & Chemical Engineering · 2022

    Xiangyu Yin, Chrysanthos E. Gounaris

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  40. MOFTransformer: A Multi-modal Pre-training Transformer for Universal Transfer Learning in Metal-Organic Frameworks

    ChemRxiv · 2022

    Yeonghun Kang, Hyunsoo Park, Berend Smit, Jihan Kim

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  41. Engineering a Series of Isoreticular Pillared Layer Ultramicroporous MOFs for Gas and Vapor Uptake

    Inorganic Chemistry · 2022

    Xiu‐Yuan Li, Hai-Yu Duan, Chaozheng He

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  42. Evaluation and screening of porous materials containing fluorine for carbon dioxide capture and separation

    Computational Materials Science · 2022

    Junpeng Yuan, Xiuying Liu, Hui Wang, Xiaodong Li

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  43. Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture

    Advanced Science · 2022

    Haoxin Mai, Tu C. Le, Dehong Chen, David Alan Winkler, Rachel A. Caruso

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  44. A Self-Evolutionary Methodology for Reverse Design of Novel MOFs

    The Journal of Physical Chemistry A · 2022

    Tongan Yan, Zhiyuan Bi, Dahuan Liu, Xiaonan Zhang, Gang Lu, Qingyuan Yang

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  45. Uncovering the optimal pyrolysis temperature of NH2-MIL-88B-derived FeOX/Fe@porous carbon composites for the ultrasensitive electrochemical detection of baicalin in natural plant samples

    Carbon · 2022

    Jiao Li, Yuefan Wang, Chenxi Wang, Yilin Wang, Yaqi Yang, Jia Chen, Chunyan Li, Yixi Xie, Pengcheng Zhao, Junjie Fei

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  46. A Novel Instantaneous Self-Assembled Hollow MOF-Derived Nanodrug for Microwave Thermo-Chemotherapy in Triple-Negative Breast Cancer

    ACS Applied Materials & Interfaces · 2022

    Qiong Wu, Ting Li, Jingjing Song, Xiaohan Sun, Xiangling Ren, Changhui Fu, Lufeng Chen, Longfei Tan, Meng Niu, Xianwei Meng

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  47. Connecting the dots for fundamental understanding of structure–photophysics–property relationships of COFs, MOFs, and perovskites using a Multiparticle Holstein Formalism

    Chemical Science · 2022

    Raja Ghosh, Francesco Paesani

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  48. A Doubly Interpenetrated Cu(II)‐based Metal‐Organic Framework as a Heterogeneous Catalyst for the ipso‐Hydroxylation of Arylboronic Acids

    European Journal of Inorganic Chemistry · 2022

    Pooja Rani, Heena, Niharika Pundir, Gauri, Ahmad Husain, K.K. Bhasin, Girijesh Kumar

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  49. A State-of-the-Art of Metal-Organic Frameworks for Chromium Photoreduction vs. Photocatalytic Water Remediation

    Nanomaterials · 2022

    Andreína García, Bárbara Rodríguez, Maibelín Rosales, Yurieth Marcela Quintero, Paula G. Saiz, Ander Reizabal, Stefan Wuttke, Leire Celaya-Azcoaga, Ainara Valverde, Roberto Fernández de Luis

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  50. Multi-Scale Computer-Aided Design of Covalent Organic Frameworks for CO 2 Capture in Wet Flue Gas

    ACS Applied Materials & Interfaces · 2022

    Shuna Yang, Weichen Zhu, Linbin Zhu, Xue Ma, Tongan Yan, Nengcui Gu, Youshi Lan, Yi Huang, Mingyuan Yuan, Minman Tong

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