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RESEARCH PAPER · Physical review. E · 2019

Recognition of polymer configurations by unsupervised learning

Xin Xu, Qianshi Wei, Huaping Li, Yuzhang Wang, Yuguo Chen, Ying Lan Jiang

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Recognition of polymer configurations by unsupervised learningOriginalDrawing Phase Diagrams of Random Quantum Systems by Deep Learning the Wave Functions47Identifying Conformation States of Polymer through Unsupervised Machine Learning14High-accuracy inverse optical design by combining machine learning and knowledge-depended optimization11Potentials and challenges of polymer informatics: exploiting machine learning for polymer design17Unsupervised learning of sequence-specific aggregation behavior for a model copolymer53Conservation laws and spin system modeling through principal component analysis6Variational autoencoder analysis of Ising model statistical distributions and phase transitions7Supervised and unsupervised machine learning of structural phases of polymers adsorbed to nanowires11Unraveling the morphological complexity of two-dimensional macromolecules9Data and Machine Learning in Polymer Science25Emerging Trends in Machine Learning: A Polymer Perspective187Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows22Machine learning for analyzing atomic force microscopy (AFM) images generated from polymer blends24Data-driven analysis of dynamical heterogeneity in polymer melts near surfaces1Machine Learning in Soft Matter: From Simulations to Experiments34Machine learning to enhance sustainable plastics: A review21Colloidal systems as experimental platforms for physics-informed machine learning2Polymer Informatics0Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm86Machine Learning in Polymer Research167Calculating a Phase Diagram of a Simple Water Model Using Unsupervised Machine Learning on Simulation Data1Machine Learning for Developing Sustainable Polymers1227Chapter 2 Machine learning applications in material science: unveiling innovative solutions1Confusion-Driven Machine Learning of Structural Phases of a Flexible, Magnetic Stockmayer Polymer2Data-Driven Polymer Classification Using BiGRU and Hybrid Metaheuristic Optimization Algorithms1Data-Driven Inverse Design of Hybrid Waveguide Gratings Using Reflection Spectra via Tandem Networks and Conditional VAEs1Partial wetting phenomena in an externally driven laning system0Machine Learning and Theoretical Computation Synergy Advancing Halide Electrolytes Toward All‐Solid‐State Lithium Batteries: Recent Advances, Challenges, and Perspectives1

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  1. Drawing Phase Diagrams of Random Quantum Systems by Deep Learning the Wave Functions

    Journal of the Physical Society of Japan · 2019-12-26

    Tomi Ohtsuki, Tomohiro Mano

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  2. Identifying Conformation States of Polymer through Unsupervised Machine Learning

    Chinese Journal of Polymer Science · 2020-06-30

    Liwang Sun, Hong Li, Xiaoqin Zhang, He-Bei Gao, Meng‐Bo Luo

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  3. High-accuracy inverse optical design by combining machine learning and knowledge-depended optimization

    Journal of Optics · 2020-08-24

    Shikun Zhang, Liheng Bian, Yongyou Zhang

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  4. Potentials and challenges of polymer informatics: exploiting machine learning for polymer design

    arXiv (Cornell University) · 2020-10-15

    Stephen Wu, Hironao YAMADA, Hayashi, Yoshihiro, Massimiliano Zamengo, Ryo Yoshida

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  5. Unsupervised learning of sequence-specific aggregation behavior for a model copolymer

    Soft Matter · 2021-01-01

    Antonia Statt, Devon C. Kleeblatt, Wesley F. Reinhart

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  6. Conservation laws and spin system modeling through principal component analysis

    Computer Physics Communications · 2021-01-14

    David O. Yevick

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  7. Variational autoencoder analysis of Ising model statistical distributions and phase transitions

    The European Physical Journal B · 2022-03-01

    David O. Yevick

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  8. Supervised and unsupervised machine learning of structural phases of polymers adsorbed to nanowires

    Physical review. E · 2022-03-24

    Quinn Parker, Dilina Perera, Ying Wai Li, Thomas Vogel

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  9. Unraveling the morphological complexity of two-dimensional macromolecules

    Patterns · 2022-04-22

    Yingjie Zhao, Jianshu Qin, Shijun Wang, Zhiping Xu

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  10. Data and Machine Learning in Polymer Science

    Chinese Journal of Polymer Science · 2022-10-20

    Yunqi Li, Ying Lan Jiang, Liquan Wang, Jianfeng Li

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  11. Emerging Trends in Machine Learning: A Polymer Perspective

    ACS Polymers Au · 2023-01-18

    Tyler B. Martin, Debra J. Audus

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  12. Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows

    ACS Polymers Au · 2023-12-05

    Erin C. Day, Supraja S. Chittari, Matthew P. Bogen, Abigail Knight

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  13. Machine learning for analyzing atomic force microscopy (AFM) images generated from polymer blends

    Digital Discovery · 2024-01-01

    Aanish Paruchuri, Yunfei Wang, Xiaodan Gu, Arthi Jayaraman

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  14. Data-driven analysis of dynamical heterogeneity in polymer melts near surfaces

    Computational Materials Science · 2024-01-29

    Wanchen Zhao, Haiyang Huo, Zhao‐Yan Sun, Zhong‐Yuan Lu

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  15. Machine Learning in Soft Matter: From Simulations to Experiments

    Advanced Functional Materials · 2024-01-31

    Kaihua Zhang, Xiangrui Gong, Ying Lan Jiang

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  16. Machine learning to enhance sustainable plastics: A review

    Journal of Cleaner Production · 2024-09-08

    Cátia Guarda, João F.M. Caseiro, Ana Pires

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  17. Colloidal systems as experimental platforms for physics-informed machine learning

    Nanoscale Horizons · 2025-01-01

    Namhee Kang, Yeonseo Joo, Hyosung An, Hyerim Hwang

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  18. Polymer Informatics

    Springer handbooks · 2025-01-01

    Tsuyoshi Koga, Atsushi Kawase

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  19. 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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  20. Machine Learning in Polymer Research

    Advanced Materials · 2025-02-09

    Wei Chun Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel

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  21. Calculating a Phase Diagram of a Simple Water Model Using Unsupervised Machine Learning on Simulation Data

    Journal of Chemical Theory and Computation · 2025-04-14

    Peter Ogrin, Tomaž Urbič

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  22. Machine Learning for Developing Sustainable Polymers

    Chemistry - A European Journal · 2025-04-23

    Ziyu Huo, Xiaoyu Xie, Rong Tong

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  23. 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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  24. Confusion-Driven Machine Learning of Structural Phases of a Flexible, Magnetic Stockmayer Polymer

    Journal of Chemical Theory and Computation · 2025-07-08

    Dilina Perera, Samuel McAllister, Joan J. Cerdà, Thomas Vogel

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  25. Data-Driven Polymer Classification Using BiGRU and Hybrid Metaheuristic Optimization Algorithms

    Polymers · 2025-07-09

    Mohammad Anwar Parvez, Ibrahim Mustafa Mehedi

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  26. Data-Driven Inverse Design of Hybrid Waveguide Gratings Using Reflection Spectra via Tandem Networks and Conditional VAEs

    Optics · 2025-11-26

    Shahrzad Dehghani, Christopher Knoth, Shaghayegh Eskandari, Maximilian Buchmüller, Tobias Meisen, Patrick Görrn

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  27. Partial wetting phenomena in an externally driven laning system

    Communications Physics · 2026-04-22

    Jing Zhang, Zhixin Liu, Shengda Zhao, Yangjun Yan, Rongxin Yue, Jiaxin Yu, Qiuju Chen, Xinjie Li, Xinghua Zhang

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  28. Machine Learning and Theoretical Computation Synergy Advancing Halide Electrolytes Toward All‐Solid‐State Lithium Batteries: Recent Advances, Challenges, and Perspectives

    Advanced Functional Materials · 2026-08-06

    Jiahui Ye, Ming Gao, Minyu Jia, Jinkai Li, Guangbin Duan, Linrui Hou, Changzhou Yuan, Zongming Liu

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