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RESEARCH PAPER · ACS Sustainable Chemistry & Engineering · 2024

Exploring the Ambient-Temperature Degradation Reactions of PET through Two-Step Machine Learning and High-Throughput Experimentation

Yaxin Wang, Shuyuan Li, Kong Meng, Yunjiang Zhang, Zhaolin Fang, Shaorui Sun

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Exploring the Ambient-Temperature Degradation Reactions of PET through Two-Step Machine Learning and High-Throughput ExperimentationOriginalHigh value-added conversion and functional recycling of waste polyethylene terephthalate (PET) plastics: A comprehensive review52From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design190Tailoring properties of PET-derived Sn-MOFs through efficiency structure defects using trifluoroacetic acid (TFA) with water-based facile and green synthesis route9Advances and Challenges for Catalytic Recycling and Upgrading of Real-World Mixed Plastic Waste100Machine learning-guided optimization for ionic liquid-based polyethylene terephthalate waste recycling13Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 Ceramics10Current state and sustainable management of waste polyethylene terephthalate bio-disposal: enzymatic degradation to upcycling1027Chapter 2 Machine learning applications in material science: unveiling innovative solutions1Extracting and reconstructing knowledge in materials science literature using large language models10Design of catalysts for electrochemical nitric oxide reduction to ammonia based on stacked ensemble learning0Data driven reveals the upgrading mechanism of waste PET electrolysis: Research progress of machine learning in collaborative production of high-value chemicals and green hydrogen energy0

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  1. High value-added conversion and functional recycling of waste polyethylene terephthalate (PET) plastics: A comprehensive review

    Journal of environmental chemical engineering · 2024-07-11

    Kefu Wang, Changyan Guo, Jiang Li, Kangkang Wang, Xianglei Cao, Siqi Liang, Jide Wang

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  2. From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design

    ACS Catalysis · 2024-07-24

    Jorge Benavides-Hernández, Franck Dumeignil

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  3. Tailoring properties of PET-derived Sn-MOFs through efficiency structure defects using trifluoroacetic acid (TFA) with water-based facile and green synthesis route

    Journal of the Taiwan Institute of Chemical Engineers · 2024-09-10

    Thi-Hong Nguyen, Kung‐Yuh Chiang

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  4. Advances and Challenges for Catalytic Recycling and Upgrading of Real-World Mixed Plastic Waste

    ACS Catalysis · 2024-12-27

    Yawen Shi, Xinyong Diao, Na Ji, Hu Ding, Zongyang Ya, Dong Xu, Ruhan Wei, Kaihao Cao, Shengbo Zhang

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  5. Machine learning-guided optimization for ionic liquid-based polyethylene terephthalate waste recycling

    Green Chemistry · 2025-01-01

    Ji Gao, Wenbo Peng, Andres Galindo, Ethan Slaton, Jose Perez Martinez, Guanghui Lan, Zhaohui Tong

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  6. Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 Ceramics

    ACS Sustainable Chemistry & Engineering · 2025-02-17

    Jian Liu, Peifeng Xiong, Changjiao Li, Hua Hao, Hanxing Liu

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  7. Current state and sustainable management of waste polyethylene terephthalate bio-disposal: enzymatic degradation to upcycling

    Bioresource Technology · 2025-04-08

    Xiaoqian Chen, Deming Rao, Xu-Yang Zhu, Xiaomin Zhao, Qingsong Huang, Jing Wu, Zheng‐Fei Yan

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  8. 27Chapter 2 Machine learning applications in material science: unveiling innovative solutions

    De Gruyter eBooks · 2025-06-25

    Leandro Rodrigues Oviedo, Maurício Dalla Costa Rodrigues da Silva, Pâmela Cristine Ladwig Muraro, Raisi Natalia Lenz Baldez, Tiago Moreno Volkmer, William Leonardo da Silva

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  9. Extracting and reconstructing knowledge in materials science literature using large language models

    Communications Materials · 2026-01-08

    Shuyuan Li, Shihao Wei, Chenyu Huang, Yunjiang Zhang, Guizhen Zhang, Shaorui Sun

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  10. Design of catalysts for electrochemical nitric oxide reduction to ammonia based on stacked ensemble learning

    Journal of Fuel Chemistry and Technology · 2026-04-01

    Wenhao DUAN, Yan ZHAO, Huanran Wang, Yaming Zhu, Xianchun LI

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  11. Data driven reveals the upgrading mechanism of waste PET electrolysis: Research progress of machine learning in collaborative production of high-value chemicals and green hydrogen energy

    Renewable and Sustainable Energy Reviews · 2026-07-31

    Jun Deng, Xuejun Zhu, Yuanchuan Ren, Cheng Wang, Nanqi Ren

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