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RESEARCH PAPER · Physical Chemistry Chemical Physics · 2021

Digital-intellectual design of microporous organic polymers

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

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42 direct citing works

Digital-intellectual design of microporous organic polymersOriginalAnalysis of the second virial coefficient, and application to rare gas mixtures1Machine Learning in Unmanned Systems for Chemical Synthesis8Applications of artificial intelligence for membrane separation: A review42A universal model for predicting helium separation in covalent organic frameworks and Metal–organic frameworks10Accelerating drug discovery for Disease X via an AlphaFold2 driven drug repositioning strategy1Accelerated Screening of Covalent Organic Frameworks for Ethylene Glycol/1,2-Butanediol Separation by Interpretable Machine Learning1Crystallinity Improvement of Covalent Triazine Frameworks Boosting Room Temperature Hydrogenation of Carbon Dioxide into Formic Acid6Accelerated Screening of Zeolites for Methanol-to-Propylene Conversion Using Machine Learning with Interpretable Selectivity Function1Data-driven identification of low-dimensional descriptors for the rational design of stable and active single-atom catalysts for nitrogen oxidation0Porous organic polymers for sustainable pollutant capture and environmental remediation: recent advances and future perspectives0CO 2 Capture from Flue Gas: A High-Fidelity Force Field and Machine Learning Framework for Adsorbent Discovery0A High-Performance Rh-TMP-COF Photocatalyst for CO 2 -to-CO Conversion with H 2 O Vapor: From Descriptor Prediction to Experimental Validation3High Throughput Discovery of Grotthuss‐Type Lithium‐Ion Transport Mechanism in Metallosalen Covalent Organic Frameworks0Data-Driven Synthesis of Covalent Organic Frameworks via Machine Learning with Integrated Success–Failure Data4Spin-state modulation via local microenvironment engineering in dual-atom electrocatalysts for the nitrogen reduction reaction0

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  1. Analysis of the second virial coefficient, and application to rare gas mixtures

    Zeitschrift für Naturforschung A · 2022-01-20

    Elif Somuncu, Bahtiyar Akber Mamedov

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  2. Machine Learning in Unmanned Systems for Chemical Synthesis

    Molecules · 2023-02-27

    Guoqiang Wang, Xuefei Wu, Bo Xin, Xu Gu, Gaobo Wang, Yong Zhang, Jiabao Zhao, Xu Cheng, Chunlin Chen, Jing Ma

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  3. Applications of artificial intelligence for membrane separation: A review

    Journal of Water Process Engineering · 2024-11-18

    Mehryar Jafari, Christina Tzirtzipi, Bernardo Castro Dominguez

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  4. A universal model for predicting helium separation in covalent organic frameworks and Metal–organic frameworks

    Chemical Engineering Science · 2024-12-31

    Yunjie Lang, Lei Sun, Yu Wei Pan, Mengqian Xu, Dong Zhai, J. H. Liu, Wei Deng, Li Yang

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  5. Accelerating drug discovery for Disease X via an AlphaFold2 driven drug repositioning strategy

    Physical Chemistry Chemical Physics · 2025-01-01

    Huijian Zhao, Wentao Qi, Ke Liu, Jiayi Zhao, Xueping Hu, Wei Deng

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  6. Accelerated Screening of Covalent Organic Frameworks for Ethylene Glycol/1,2-Butanediol Separation by Interpretable Machine Learning

    The Journal of Physical Chemistry Letters · 2025-02-13

    Yuying Sun, Mengqian Xu, Yunjie Lang, Jing Liu, Dong Zhai, Lei Sun, Wei Deng, Ya‐Min Li, Li Yang

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  7. Crystallinity Improvement of Covalent Triazine Frameworks Boosting Room Temperature Hydrogenation of Carbon Dioxide into Formic Acid

    ACS Sustainable Chemistry & Engineering · 2025-09-01

    Changjiang Yang, Xiuqin Ci, Xiaoju Li, Zheng Wei, Yunjie Lang, Yuzhe Xu, Guobao Jiang, Rui Tu, Yuchun Xu, Xu Fang, Shengliang Zhai, Hongqi Shi, Guoqing Ren

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  8. Accelerated Screening of Zeolites for Methanol-to-Propylene Conversion Using Machine Learning with Interpretable Selectivity Function

    JACS Au · 2025-11-26

    Yu Wei Pan, Ling Zhang, Lei Sun, Dong Zhai, Wenliang Li, Zhen Li, Tie Yu, Wei Deng, Li Yang

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  9. Data-driven identification of low-dimensional descriptors for the rational design of stable and active single-atom catalysts for nitrogen oxidation

    Journal of Materials Chemistry A · 2026-01-01

    Mengqian Xu, Yu Wei Pan, Junrong Wang, Shaohuang Li, Dong Zhai, Heng Liu, H. C. Li, Wei Deng, Lei Sun, Li Yang

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  10. Porous organic polymers for sustainable pollutant capture and environmental remediation: recent advances and future perspectives

    RSC Advances · 2026-01-01

    Poornachandra Shamanna Prabhakar, S. R. NAIK, Asha Danthi, Parveen Shaik, Amgoth Ramesh, T. N. Varshitha, Udayakumar Dalimba, Bistuvalli Chandrashekarappa Revanasiddappa

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  11. CO 2 Capture from Flue Gas: A High-Fidelity Force Field and Machine Learning Framework for Adsorbent Discovery

    Journal of Chemical Theory and Computation · 2026-03-02

    Yunjie Lang, Yu Wei Pan, Mei‐Yan Xu, Xin Wei, Ran Duan, Shaohuang Li, Dong Zhai, Lei Sun, Wei Deng, Li Yang

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  12. A High-Performance Rh-TMP-COF Photocatalyst for CO 2 -to-CO Conversion with H 2 O Vapor: From Descriptor Prediction to Experimental Validation

    Journal of the American Chemical Society · 2026-04-13

    Xi Chen, Wanying Xie, Li Yang, Yuan‐Zhe Cheng, Ruiling Zhang, Qingzhe Zhang, Wei Deng, Chengcheng Liu

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  13. High Throughput Discovery of Grotthuss‐Type Lithium‐Ion Transport Mechanism in Metallosalen Covalent Organic Frameworks

    Transformative Chemistry · 2026-05-04

    Xinhui Lu, Xinhui Lu, Bing Ma, Wei Zhou, Junhao Wu, Qianqian Yan, Na Qin, Xiao Wang, Sheng Zhang, Xing Lu, Xing Lu

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  14. Data-Driven Synthesis of Covalent Organic Frameworks via Machine Learning with Integrated Success–Failure Data

    JACS Au · 2026-05-20

    Bing Ma, Qianqian Yan, Wei Zhou, Junhao Wu, Lipiao Bao, Xinhui Lu, Xinhui Lu, Jixia Qiu, Yuanyuan Zhu, Xiao Wang, Dong Zhai, Chengcheng Liu, S W Zhang, Wei Deng, Xing Lu, Xing Lu

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  15. Spin-state modulation via local microenvironment engineering in dual-atom electrocatalysts for the nitrogen reduction reaction

    Chemical Engineering Journal · 2026-08-06

    Mengqian Xu, Li Yang, Wei Deng, Dong Zhai

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