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RESEARCH PAPER · ACS Applied Materials & Interfaces · 2021

Superhydrophobic Polymer Topography Design Assisted by Machine Learning Algorithms

Qiang Wang, Jarrett Dumond, Jarren Teo, Hong Yee Low

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Superhydrophobic Polymer Topography Design Assisted by Machine Learning AlgorithmsOriginalMachine Learning Assisted Nanomaterials as Super hydrophobic Coatings for Antiviral Functionalities to Fight COVID-190Surface Wettability Prediction Using Image Analysis and an Artificial Neural Network14Prediction of the Lotus Effect on Solid Surfaces by Machine Learning28Thermodynamic analysis on wetting state transitions of rough surfaces with 3D irregular microstructure7Drop impact dynamics on solid surfaces61Data-Driven Prediction of Janus/Core–Shell Morphology in Polymer Particles: A Machine-Learning Approach31Superhydrophobicity and compressive stability of Salvinia surface: Mechanical analysis and structural design13Predicting Sliding Angles on Random Pit-Distributed Textures Using Probabilistic Neural Networks4Superhydrophobic hybrid nanocomposites: Mapping the current research trends and recent advances16Optimization and verification of droplet infiltration model in contact line theory2Machine-Learning Approach in Prediction of the Wettability of a Surface Textured with Microscale Pillars9Air pocket-optimization strategy for micro/nanostructures fabricated by femtosecond laser technology for anti-icing performance improvement43Recent Advances in Superhydrophobic Materials Development for Maritime Applications126Explainable Prediction of Hydrophilic/Hydrophobic Property of Polymer Brush Surfaces by Chemical Modeling and Machine Learning21Machine Learning-Based Stability Prediction and Analysis of Polypropylene Cu-MA Superhydrophobic Coating on the Aluminum Substrate14Advances in triple-phase catalysis for energy and environmental applications13Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm86Engineering multifunctional surface topography to regulate multiple biological responses40Emerging Trends in Bioinspired Superhydrophobic and Superoleophobic Sustainable Surfaces70Current Challenges and Prospects in Superamphiphobic Surfaces Technology2Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method1Bio-inspired designing and fabricating hydrophobic functional surface for advanced fuel cell applications: A review14Machine learning in polymer science: A new lens for physical and chemical exploration35Microscale studying and machine learning of polymer wetting behavior in direct ink writing under different gravitational intensity1Multifunctional Micro/Nanostructured Interfaces, Fabrication Technologies, Wetting Control, and Future Prospects5Periodic Feature Characterization in Nanostructured Surfaces and Emulsions23D Printing for Super‐Wetting Surfaces6Predictive modeling and stability analysis of tetradecanoic acid-modified zinc/zinc oxide coatings using machine learning5Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate15Research progress on laser surface microstructuring systems for drug storage and release from orthopedic implants1Design of superhydrophobic anti-icing coatings guided by full-process machine learning6Bioinspired Nanostructures for Combined Hydrophobicity and Light Propagation: From Natural Prototypes to Applications1Stimuli-Responsive Smart Polymer: A Precise Era with Artificial Intelligence and Machine Learning8Spray‐Induced High Laplace Pressure for Stable Cassie–Baxter Superhydrophobic Anti‐Icing Surfaces3Multifunctional carbon-based materials for corrosion resistance in aviation: A comprehensive review2Molecular design rules for wettability minimisation on grafted cellulose surfaces through human-machine teaming optimisation0Nanostructured Co-based thin film coatings deposited by DC magnetron sputtering for stability analysis using machine learning and deep learning0

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  1. Machine Learning Assisted Nanomaterials as Super hydrophobic Coatings for Antiviral Functionalities to Fight COVID-19

    Engineering and Scientific International Journal · 2021-12-27

    J. Dhivya Saranya, S. Hepziba Suganthi, Sheena Christabel Pravin, V. S. Selvakumar

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  2. Surface Wettability Prediction Using Image Analysis and an Artificial Neural Network

    Langmuir · 2022-06-03

    Yoonkyung Cho, Sungmin Kim, Chung Hee Park

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  3. Prediction of the Lotus Effect on Solid Surfaces by Machine Learning

    Small · 2022-09-07

    Xiao Dong He, Kaihua Zhang, Xianghui Xiong, Yuepeng Li, Xizi Wan, Zijia Chen, Yixuan Wang, Xue-Tao Xu, Mingqian Liu, Ying Lan Jiang, Shutao Wang

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  4. Thermodynamic analysis on wetting state transitions of rough surfaces with 3D irregular microstructure

    Surfaces and Interfaces · 2022-10-13

    Xin Sui, Jason Tam, Uwe Erb, Wenyan Liang

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  5. Drop impact dynamics on solid surfaces

    Applied Physics Letters · 2022-11-21

    Wei Ping Fang, Kaixuan Zhang, Qi Jiang, Cunjing Lv, Chao Sun, Qunyang Li, Yanlin Song, Xi‐Qiao Feng

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  6. Data-Driven Prediction of Janus/Core–Shell Morphology in Polymer Particles: A Machine-Learning Approach

    Langmuir · 2023-03-31

    Bahareh Esteki, Mahmood Masoomi, Mohammad Moosazadeh, ChangKyoo Yoo

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  7. Superhydrophobicity and compressive stability of Salvinia surface: Mechanical analysis and structural design

    Applied Surface Science · 2023-04-18

    Shuo-Yan Zhang, Jian‐Gang Guo

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  8. Predicting Sliding Angles on Random Pit-Distributed Textures Using Probabilistic Neural Networks

    Langmuir · 2023-04-24

    Li Wang, Haidou Wang, Yuelan Di, Lihong Dong, Jin Guo

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  9. Superhydrophobic hybrid nanocomposites: Mapping the current research trends and recent advances

    Chemical Engineering Science · 2023-05-29

    Ajinkya Madan Satdive, Saurabh Tayde, Bhagwan Ghanshamji Toksha, Debasree Kundu, Jitendra Naik, Chinmay Hazra, Shravanti S. Joshi, Aniruddha Chatterjee

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  10. Optimization and verification of droplet infiltration model in contact line theory

    Polymer Testing · 2023-07-07

    Yanbin Zhang, Zehua Xu, Kangshuai Li, Xiaosen Wang, Qiang He

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  11. Machine-Learning Approach in Prediction of the Wettability of a Surface Textured with Microscale Pillars

    Langmuir · 2023-11-20

    Seyong Choi, Kiduk Kim, Kisang Byun, Joonkyung Jang

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  12. Air pocket-optimization strategy for micro/nanostructures fabricated by femtosecond laser technology for anti-icing performance improvement

    Applied Surface Science · 2024-02-01

    Zelin Chen, Lin Song, Yun Wang, Haiyan Tao, Ziyuan Liu, Tianqi Wang, Fengwei Ye, Yaowen He, Jingquan Lin

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  13. Recent Advances in Superhydrophobic Materials Development for Maritime Applications

    Advanced Science · 2024-02-25

    Zhao Qing Tang, Tongfei Tian, Paul J. Molino, Alexei T. Skvortsov, Dong Ruan, Jie Ding, Yali Li

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  14. Explainable Prediction of Hydrophilic/Hydrophobic Property of Polymer Brush Surfaces by Chemical Modeling and Machine Learning

    The Journal of Physical Chemistry B · 2024-07-01

    Shiwei Su, Tsukuru Masuda, Madoka Takai

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  15. Machine Learning-Based Stability Prediction and Analysis of Polypropylene Cu-MA Superhydrophobic Coating on the Aluminum Substrate

    The Journal of Physical Chemistry C · 2024-09-30

    Himanshu Prasad Mamgain, Rahul Pal, Sanoj Kumar, Ranjeet Brajpuriya, Jitendra Kumar Pandey

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  16. Advances in triple-phase catalysis for energy and environmental applications

    Chemical Society Reviews · 2025-01-01

    Xiaoying Li, Jinwei Xu, Yusheng Ye, Baoliang Chen, Xin Xiao

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  17. Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm

    SmartMat · 2025-01-09

    Chunhui Xie, Haoke Qiu, Lu Liu, Yang You, Hongfei Li, Yunqi Li, Zhao‐Yan Sun, Jiaping Lin, Lijia An

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  18. Engineering multifunctional surface topography to regulate multiple biological responses

    Biomaterials · 2025-01-28

    Mohammad Asadi Tokmedash, Changheon Kim, Ajay P. Chavda, Adrian Li, Jacob Robins, Jouha Min

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  19. Emerging Trends in Bioinspired Superhydrophobic and Superoleophobic Sustainable Surfaces

    Advanced Materials · 2025-02-18

    Cerys M. Cormican, Sinem Bektaş, Francisco J. Martín‐Martínez, Shirin Alexander

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  20. Current Challenges and Prospects in Superamphiphobic Surfaces Technology

    Unknown journal · 2025-04-28

    Wanshun Deng, Rui Guo, Shuaijun Pan

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  21. Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method

    Materials & Design · 2025-05-19

    Yibin Liu, Konghua Yang, Yuchao Luo, Jiawei Xiong, Yunhong Liang, Zhihui Zhang, Chunbao Liu

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  22. Bio-inspired designing and fabricating hydrophobic functional surface for advanced fuel cell applications: A review

    Renewable and Sustainable Energy Reviews · 2025-07-15

    Wuyi Ming, Yingjie Xu, Haozhe Chang, Guojun Zhang, Yu Wang, Zhen Zhang

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  23. Machine learning in polymer science: A new lens for physical and chemical exploration

    Progress in Materials Science · 2025-07-29

    Xiao-Qin Cao, Yongqing Zhang, Zhenghua Sun, Hongyao Yin, Yujun Feng

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  24. Microscale studying and machine learning of polymer wetting behavior in direct ink writing under different gravitational intensity

    Physics of Fluids · 2025-08-01

    Mujib Ur Rahman, Zilu Liu, Dongjie Liu, Jinjia Wei

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  25. Multifunctional Micro/Nanostructured Interfaces, Fabrication Technologies, Wetting Control, and Future Prospects

    Advanced Materials Interfaces · 2025-08-21

    Seo Rim Park, Myung‐Seo Kim, Seong Min Yoon, Seo Na Yoon, Yu Han, Sun Hye Yoon, Jun Ho Song, Na Ye Jang, Chae Hyeok Yoon, Woo Young Kim, Seok Kim, Young Tae Cho

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  26. Periodic Feature Characterization in Nanostructured Surfaces and Emulsions

    Langmuir · 2025-09-11

    André Guerra, Ziheng Wang, Samuel Mathews, Alejandro D. Rey, Kevin J. De France

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  27. 3D Printing for Super‐Wetting Surfaces

    Advanced Materials Technologies · 2025-09-18

    Yuzhe Zhang, Yuzhe Zhang, Yujie Xue, M. M. Li, Yuhan Zhang, Yuhan Zhang

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  28. Predictive modeling and stability analysis of tetradecanoic acid-modified zinc/zinc oxide coatings using machine learning

    Next Materials · 2025-10-01

    Himanshu Prasad Mamgain, Jitendra Kumar Pandey, Pravat Ranjan Pati, Ranjeet Brajpuriya

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  29. Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate

    Scientific Reports · 2025-10-03

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  30. Research progress on laser surface microstructuring systems for drug storage and release from orthopedic implants

    Biomedical Materials · 2025-12-05

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  31. Design of superhydrophobic anti-icing coatings guided by full-process machine learning

    Surface and Coatings Technology · 2026-01-26

    Zijie Zhang, Yiming Liu, Siyu Chen, Lulu Liu, Junjie Liu, Tao Hu, Ting Xiao, Lihua Jiang, Xu Li, Xu Li, Xinyi Li, Xinyi Li, Xinyu Tan

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  32. Bioinspired Nanostructures for Combined Hydrophobicity and Light Propagation: From Natural Prototypes to Applications

    ACS Applied Materials & Interfaces · 2026-03-17

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  33. Stimuli-Responsive Smart Polymer: A Precise Era with Artificial Intelligence and Machine Learning

    Precision Chemistry · 2026-03-27

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  34. Spray‐Induced High Laplace Pressure for Stable Cassie–Baxter Superhydrophobic Anti‐Icing Surfaces

    Small · 2026-04-20

    Fan Yang, Tong Wang, Huimeng Feng, Ying Liu, Yue Zhang, Wenyan Zhou, Zhipeng Zhao, Weiwei Li, Shougang Chen

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  35. Multifunctional carbon-based materials for corrosion resistance in aviation: A comprehensive review

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  36. Molecular design rules for wettability minimisation on grafted cellulose surfaces through human-machine teaming optimisation

    Journal of Colloid and Interface Science · 2026-07-06

    Yue Wang, Thin Nguyen, Julian Berk, Santu Rana, Alper Kızıltaş, Patrick Blanchard, Svetha Venkatesh, Tiffany R. Walsh

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  37. Nanostructured Co-based thin film coatings deposited by DC magnetron sputtering for stability analysis using machine learning and deep learning

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