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RESEARCH PAPER · Chemical Communications · 2025

Text mining in MOF research: from manual curation to large language model-based automation

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Text mining in MOF research: from manual curation to large language model-based automationOriginalStrategic engineering of structural complexity in metal–organic frameworks18Efficient and explainable transformer-based language models for property prediction in metal-organic frameworks3Domain-adapted discovery of PET depolymerisation routes using in-house curated scientific literature0Large language models for porous materials: from text mining to autonomous laboratory6Agentic material science5Metal–Organic Frameworks as Multifunctional Platforms for Chemical Sensors: Advances in Electrochemical and Optical Detection of Emerging Contaminants3Quantitative analysis of operating conditions and performance trends in CO2 capture from large-scale literature0Harnessing large language models driven literature mining and closed-loop design for all-inorganic perovskites0Data-driven design of electrocatalysts: Machine learning workflows, paradigm shifts, and applications4From prediction to realization: large language models and AI agents for inorganic materials discovery1Machine Learning for Synthetic Organic Chemistry: Methods, Applications, and Best Practices0

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  1. Strategic engineering of structural complexity in metal–organic frameworks

    Trends in Chemistry · 2025-09-11

    Jihyun H. Park, Jaewoong Lim, Hoi Ri Moon

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  2. Efficient and explainable transformer-based language models for property prediction in metal-organic frameworks

    Chemical Engineering Journal · 2025-10-05

    Yizhen Situ, Yanling Chen, Wenxuan Li, Zhiwei Qiao, Lifeng Ding, Qingyuan Yang

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  3. Domain-adapted discovery of PET depolymerisation routes using in-house curated scientific literature

    Chemical Communications · 2026-01-01

    Dawn Sivan, Saima Zafar, K Satheeshkumar, T K Manoj Kumar, Kohbalan Moorthy, Izan Izwan Misnon, Chun-Chen Yang, Rajan Jose

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  4. Large language models for porous materials: from text mining to autonomous laboratory

    Digital Discovery · 2026-01-01

    Seunghee Han, Taeun Bae, Junho Kim, Youjin Kim, Young-Hun Kim, Jihan Kim, Jihan Kim

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  5. Agentic material science

    Journal of Materials Informatics · 2026-01-30

    Chengbo Li, Nian Ran, Jianjun Liu

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  6. Metal–Organic Frameworks as Multifunctional Platforms for Chemical Sensors: Advances in Electrochemical and Optical Detection of Emerging Contaminants

    Processes · 2026-03-10

    Iare Soares Ribeiro, Wesley Clayton Primarte Aquino, Lucas Hestevan Malta Alfredo, Jemmyson Romário de Jesus

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  7. Quantitative analysis of operating conditions and performance trends in CO2 capture from large-scale literature

    Chemical Engineering Journal Advances · 2026-03-28

    So Yun Jeong, Kyuri Choi, Jeongho Choi, Kwanghwi Kim, Hong Woo Lee, Byung Chul Yeo

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  8. Harnessing large language models driven literature mining and closed-loop design for all-inorganic perovskites

    Journal of Alloys and Compounds · 2026-04-30

    Zewei Yang, Yicheng Ma, Hua Liu, Yali Ji

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  9. Data-driven design of electrocatalysts: Machine learning workflows, paradigm shifts, and applications

    Advanced Powder Materials · 2026-05-21

    Ziwei Liu, Hanqing Gu, Liwei Yang, Wengcheng Wu, Zhong Huang, Haozhi Wang, Yang Wang, Yida Deng

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  10. From prediction to realization: large language models and AI agents for inorganic materials discovery

    Chemical Synthesis · 2026-08-13

    Lionel Sebastian Veiga, Di Zhang, Tingyu Lu, Yiming Lu, Hao Li

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  11. Machine Learning for Synthetic Organic Chemistry: Methods, Applications, and Best Practices

    Angewandte Chemie Novit · 2026-08-28

    Niklas Hölter, Felix Katzenburg, Florian Boser, Frank Glorius

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