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RESEARCH PAPER · Nanoscale Advances · 2023

A machine learning-based nano-photocatalyst module for accelerating the design of Bi 2 WO 6 /MIL-53(Al) nanocomposites with enhanced photocatalytic activity

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A machine learning-based nano-photocatalyst module for accelerating the design of Bi 2 WO 6 /MIL-53(Al) nanocomposites with enhanced photocatalytic activityOriginalPhotocatalytic degradation of drugs and dyes using a maching learning approach73Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction25Integrating machine learning with experimental investigation for optimizing photocatalytic degradation of Rhodamine B using neodymium-doped titanium dioxide: a comprehensive approach with toxicity assessment16Leveraging machine learning for predicting the photocatalytic performance of a g-C 3 N 4 /CdS/MoS 2 -based heterostructure nanocomposite9Research progress of machine learning in the field of photocatalysis applications21Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation32Heterogeneous Photocatalysis for Advanced Water Treatment: Materials, Mechanisms, Reactor Configurations, and Emerging Applications96Synthesis, characterization, and photocatalytic degradation of methylene blue dye using Bi2S3/WS2/gC3N4-based heterojunction nanocomposite16A review on machine learning in photocatalytic degradation of organic dyes from wastewater: Current trends and future directions14Machine learning (ML)-assisted development of 2D green catalysts to support sustainability3Nanomaterials in gene therapy and genome editing: challenges and emerging directions11From green routes to digital design: Two-dimensional photocatalysts at the interface of machine learning and environmental applications0Multifunctional SnS/SnS2/ZSM-5 nanocomposite for efficient photodegradation: Coupled with experimentally validated machine learning predictive modeling0Intelligent Nanotechnology: The AI-Driven Future of Sustainable Wastewater Treatment1Engineering Design Strategies for Boosting Photocatalytic Activity: Theory-to-Data-Driven Perspective2Next generation bismuth-based photocatalysts for emerging water contaminants: Design principles and future directions102D bismuth nanostructures for emerging sensors: Recent developments and machine learning perspectives0Defects as electronic design elements in metal organic frameworks for photocatalysis0

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  1. Photocatalytic degradation of drugs and dyes using a maching learning approach

    RSC Advances · 2024-01-01

    Ganesan Anandhi, Meenakshisundaram Iyapparaja

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  2. Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

    Catalysts · 2024-03-22

    Shifa Wang, Peilin Mo, Dengfeng Li, Asad Syed

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  3. Integrating machine learning with experimental investigation for optimizing photocatalytic degradation of Rhodamine B using neodymium-doped titanium dioxide: a comprehensive approach with toxicity assessment

    Environmental Science and Pollution Research · 2024-09-03

    Shadi Kohzadi, Mirco Bundschuh, Reza Rezaee, Nader Marzban, Zakaria Vahabzadeh, Seyed Ali Johari, Behzad Shahmoradi, Nader Amini, Afshin Maleki

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  4. Leveraging machine learning for predicting the photocatalytic performance of a g-C 3 N 4 /CdS/MoS 2 -based heterostructure nanocomposite

    New Journal of Chemistry · 2025-01-01

    Preeti Kumari, Chandni Devi, Mukesh Kumar, S. K. Sharma, Ravi Pratap Singh, Kamlesh Yadav, Gaurav Kumar Yogesh

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  5. Research progress of machine learning in the field of photocatalysis applications

    Journal of Industrial and Engineering Chemistry · 2025-04-24

    Kun Li, Haoyuan Du, Lei Liu, Hang Yang, Junfei Fang, Dong Li

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  6. Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation

    Journal of Environmental Management · 2025-05-14

    Hassan Refat H. Ali, Muhammad Yasir, Hamza Ul Haq, Ali Can Güler, Milan Masař, Muhammad Nouman Aslam Khan, Michal Machovský, Vladimír Sedlařík, Ivo Kuřitka

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  7. Heterogeneous Photocatalysis for Advanced Water Treatment: Materials, Mechanisms, Reactor Configurations, and Emerging Applications

    Applied Sciences · 2025-05-19

    Maria Paiu, Doina Lutic, Lidia Favier, Maria Cristina Gavrilescu

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  8. Synthesis, characterization, and photocatalytic degradation of methylene blue dye using Bi2S3/WS2/gC3N4-based heterojunction nanocomposite

    Materials Science in Semiconductor Processing · 2025-05-26

    Priyanka Jangra, Preeti Kumari, S. K. Sharma, Kamlesh Yadav, Chandni Devi, Gaurav Kumar Yogesh

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  9. A review on machine learning in photocatalytic degradation of organic dyes from wastewater: Current trends and future directions

    Journal of Water Process Engineering · 2025-09-23

    Tasfia Nuzhat, Nurul Asyikin Binti Mohamed Radzi, Muthuchamy Maruthupandy, Salman Yussof

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  10. Machine learning (ML)-assisted development of 2D green catalysts to support sustainability

    Materials Horizons · 2025-10-15

    Manshu Dhillon, Soumya Mahapatra, Adreeja Basu, Adreeja Basu, Shyam Sudhir Pandey, Manpreet Singh Manna, Shantanu Bhattacharya, Basab Chakraborty, Ajeet Kumar Kaushik, Aviru Kumar Basu, Aviru Kumar Basu

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  11. Nanomaterials in gene therapy and genome editing: challenges and emerging directions

    Journal of Nanobiotechnology · 2025-12-16

    Mingyang Jiang, Ke Zhang, Zheng Wang, Ming Gao, Shanggui Su, Junjun He, Huihui Xu, Zhandong Bo, Zhenqi Jiang, Chengcheng Zhang, James Hoi Po Hui, Ruqiong Wei

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  12. From green routes to digital design: Two-dimensional photocatalysts at the interface of machine learning and environmental applications

    Journal of environmental chemical engineering · 2026-03-11

    Rupak Kumar Patnaik, Sujit Sen

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  13. Multifunctional SnS/SnS2/ZSM-5 nanocomposite for efficient photodegradation: Coupled with experimentally validated machine learning predictive modeling

    Surfaces and Interfaces · 2026-03-12

    Megha Parmar, Varya Joshi, Mahuya Bandyopadhyay, Rama Gaur, Mohammed E. Ali Mohsin, Suleiman Mousa, Syed Shahabuddin

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  14. Intelligent Nanotechnology: The AI-Driven Future of Sustainable Wastewater Treatment

    Unknown journal · 2026-04-01

    Marco Masabuda, Zainab Masoud Hussein, Nageswara Rao Lakkimsetty

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  15. Engineering Design Strategies for Boosting Photocatalytic Activity: Theory-to-Data-Driven Perspective

    Materials · 2026-04-07

    Wilian Jesús Pech-Rodríguez, Nihat Ege Şahin, G. G. Suarez-Velázquez

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  16. Next generation bismuth-based photocatalysts for emerging water contaminants: Design principles and future directions

    Coordination Chemistry Reviews · 2026-04-17

    Hussnain Barkat, Abdur Rehman Nasrullah, Masud Hussain, Noor ul Ain Sheikh, Naeema Amjad, Dan-Dan Shi, Li-Ping Yu

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  17. 2D bismuth nanostructures for emerging sensors: Recent developments and machine learning perspectives

    Current Applied Physics · 2026-04-30

    Rose Rani Soren, Mridusmita Sharma, Hirendra Das, Hidam Kumarjit Singh

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  18. Defects as electronic design elements in metal organic frameworks for photocatalysis

    Chemical Engineering Science · 2026-08-04

    Widyastuti Widyastuti, Respati Kevin Pramadewandaru, Ratna Ediati, Vuri Ayu Setyowati, Ika Oktavia Wulandari, Liyana Labiba Zulfa, Andika Prastika, Zasqi’a Nitansyah Ramadhani, Rifdah Adya Salsabila

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