BetaCitation Atlas
← Back to paper and map

Papers citing Machine Learning-Assisted Design of Advanced Polymeric Materials

  1. Compositional Generalization as a Distinct Failure Mode in Materials AI

    Journal of Artificial Intelligence for Materials Science · 2022

    Daniel Fischer, Laura Meier, Thomas Braun

    Read original paper ↗ ·
  2. Scientific Decision-Making with Materials AI — How Models Actually Influence Action: A Review Study

    Journal of Artificial Intelligence for Materials Science · 2023

    Bruno Martins, Lucas Pereira

    Read original paper ↗ ·
  3. Design of Co‐Cured Multi‐Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning Approach

    Macromolecular Rapid Communications · 2024

    Shuang Song, Xinyao Xu, Haoxiang Lan, Liang Gao, Jiaping Lin, Lei Du, Yuyuan Wang

    Read original paper ↗ ·
  4. Applications of artificial intelligence and machine learning on critical materials used in cosmetics and personal care formulation design

    Current Opinion in Colloid & Interface Science · 2024

    Hai Xin, Akashdeep Singh Virk, Sabitoj Singh Virk, Foluso Akin-Ige, Samiul Amin

    Read original paper ↗ ·
  5. Computer-aided design of thermosetting benzoxazoles containing bis-endoalkynyl groups: Low melting points and high thermal stability

    European Polymer Journal · 2024

    Jiahang Zhang, Zhengtao Jiang, Qixin Zhuang, Peiyuan Zuo, Xiaoyun Liu

    Read original paper ↗ ·
  6. Deep Learning‐Assisted Design of Novel Donor–Acceptor Combinations for Organic Photovoltaic Materials with Enhanced Efficiency

    Advanced Materials · 2024

    Shizhao Zhang, Shuixing Li, Siqin Song, Yang Katie Zhao, Liang Gao, Hongzheng Chen, Hanying Li, Jiaping Lin

    Read original paper ↗ ·
  7. AI-Enabled Polymer Processing Technology

    Carl Hanser Verlag GmbH & Co. KG eBooks · 2025

    Suprakas Sinha Ray, Ritima Banerjee, Jayita Bandyopadhyay, Jonathan Tersur Orasugh

    Read original paper ↗ ·
  8. Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials

    Physical Chemistry Chemical Physics · 2025

    Vassilis Gkatsis, Petros Maratos, Christoforos S. Rekatsinas, George Giannakopoulos, Panagiotis Krokidas

    Read original paper ↗ ·
  9. On-demand design of materials with enhanced dielectric properties via a machine learning-assisted materials genome approach

    Journal of Materials Chemistry A · 2025

    Shujian Cao, Zhentao Zhang, Siqin Song, Haoxiang Lan, Liang Gao, Jiaping Lin, Chongyin Zhang, Wanyu Tang

    Read original paper ↗ ·
  10. Wet chemistry nanoarchitectonics for nanocrystal-based films

    CrystEngComm · 2025

    Gaulthier Rydzek, Katsuhiko Ariga

    Read original paper ↗ ·
  11. When Accuracy Is Not Enough: A Decision-Theoretic Framework for Evaluating Materials AI Models

    Journal of Artificial Intelligence for Materials Science · 2025

    Li Zhang, Wei Chen

    Read original paper ↗ ·
  12. Discovering polyimides and their composites with targeted mechanical properties through explainable machine learning

    Journal of Materials Informatics · 2025

    Weilong Hu, Enzhe Jing, Haoke Qiu, Zhao‐Yan Sun

    Read original paper ↗ ·
  13. Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm

    SmartMat · 2025

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

    Read original paper ↗ ·
  14. On-Demand Polymer Materials for Sustainability and Space

    Annual Review of Chemical and Biomolecular Engineering · 2025

    Micah S. Ziegler, Blair Kathryn Brettmann

    Read original paper ↗ ·
  15. Rationally designed high-temperature polymer dielectrics for capacitive energy storage: An experimental and computational alliance

    Progress in Polymer Science · 2025

    Pritish Aklujkar, Rishi Gurnani, Pragati Rout, Ashish R. Khomane, Irene Mutegi, Mohak Desai, Amy Pollock, John M. Toribio, Jing Hao, Yang Cao, Rampi Ramprasad, Gregory Allen Sotzing

    Read original paper ↗ ·
  16. A rapid UV/Vis assisted designing of benzodithiophene based polymers by machine learning to predict their light absorption for photovoltaics

    Organic Electronics · 2025

    Abrar U. Hassan, Cihat Güleryüz, Sajjad Hussain Sumrra, Sadaf Noreen, M.H.H. Mahmoud

    Read original paper ↗ ·
  17. Interpretable Machine Learning Combined TD-DFT Calculations for the Study of Colorless Transparency Polyimides

    Macromolecules · 2025

    Xu Li, Haoyu Yang, Yonghong Tao, Qingji Wang, Tongfei Shi, Lin Li

    Read original paper ↗ ·
  18. Formulation Design of Frontal Polymerization Systems for Epoxy Resins Based on Machine Learning

    Journal of Physics Conference Series · 2025

    Zhilang Zhuo, Ying Li, Wenduo Chen, Hongzhao Zhao

    Read original paper ↗ ·
  19. Machine‐Learning‐Enhanced Trial‐and‐Error for Efficient Optimization of Rubber Composites

    Advanced Materials · 2025

    Wei Deng, Lijun Liu, Xiaohang Li, Yanyu Huang, Ming Hu, Yafang Zheng, Yuan Yin, Yan Huan, Shuxun Cui, Zhao‐Yan Sun, Jun Jiang, Xiaoniu Yang, Dapeng Wang

    Read original paper ↗ ·
  20. Tailoring polymer architectures to drive molecular sieving in protein-polymer hybrids

    Sustainable Chemistry and Pharmacy · 2025

    Kriti Kapil, Hironobu Murata, Lucca Trachsel, Krzysztof Aleksander Matyjaszewski

    Read original paper ↗ ·
  21. A graph neural network assisted reverse polymers engineering to design low bandgap benzothiophene polymers for light harvesting applications

    Materials Chemistry and Physics · 2025

    Abrar U. Hassan, Cihat Güleryüz, Islam H. El Azab, Ashraf Y. Elnaggar, M.H.H. Mahmoud

    Read original paper ↗ ·
  22. Bone-brain interaction: mechanisms and potential intervention strategies of biomaterials

    Bone Research · 2025

    Jiaze Yu, Luli Ji, Yongxian Liu, Xiaogang Wang, Jing Wang, Changsheng Liu

    Read original paper ↗ ·
  23. Machine learning approaches for designing polybenzoxazines with balanced thermal stability and dielectric properties

    Science China Chemistry · 2025

    Jiahang Zhang, Yong Yu, Qixin Zhuang, Wei Yin, Peiyuan Zuo, Xiaoyun Liu

    Read original paper ↗ ·
  24. Machine Learning for Developing Sustainable Polymers

    Chemistry - A European Journal · 2025

    Ziyu Huo, Xiaoyu Xie, Rong Tong

    Read original paper ↗ ·
  25. Measurement and QSPR modeling of Flory–Huggins parameter for solvent-swollen gels, and gel catalyst informatics

    Journal of the Taiwan Institute of Chemical Engineers · 2025

    Hideaki Tokuyama, Yuna Kamikawa, Teiji Kitajima

    Read original paper ↗ ·
  26. Machine learning in constructing structure–property relationships of polymers

    Chemical Physics Reviews · 2025

    Yongqiang Ming, Jianglong Li, Jianlong Wen, Lang Shuai, Juan Yang, Yijing Nie

    Read original paper ↗ ·
  27. Machine-Learning-Assisted Design of Mechanically Robust Room-Temperature Self-Healing Epoxy Resins

    Macromolecules · 2025

    Haitao Wu, Hao Wang, Changcheng Wang, Zhaoyang Yuan, Hu Xu, Jing Zheng, Mengjin Jiang, Jinrong Wu

    Read original paper ↗ ·
  28. A quantum-transformer hybrid architecture for polymer property prediction: Addressing data sparsity issues

    Computational Materials Science · 2025

    Aodong Zhang, Chengke Bao, Zhanbo Zhu, Weidong Ji

    Read original paper ↗ ·
  29. The AI-Driven Transformation in New Materials Manufacturing and the Development of Intelligent Sports

    Applied Sciences · 2025

    Fang Wang, Shunnan Jiang, Jun Li

    Read original paper ↗ ·
  30. Film-Depth-Dependent Light Absorption Spectroscopy of Organic Thin Films

    Accounts of Materials Research · 2025

    Laju Bu, Xianqiang Xie, Zichao Shen, Guanghao Lu

    Read original paper ↗ ·
  31. Machine Learning-Optimized Electroosmotic Regeneration in Composite Adsorbents

    Venue not supplied by source · 2025

    G.M. Wu, Shisheng Li, Zhaohe Mai, Xu Luo

    Read original paper ↗ ·
  32. PyGAMD: Python graphics processing unit‐accelerated molecular dynamics software

    Materials Genome Engineering Advances · 2025

    Jiajie Xu, Shenghong Guo, Miaolan Zhen, Zhuochen Yu, You‐Liang Zhu, Giuseppe Milano, Zhong‐Yuan Lu

    Read original paper ↗ ·
  33. Interpretable Machine Learning Prediction of Polyimide Dielectric Constants: A Feature-Engineered Approach with Experimental Validation

    Polymers · 2025

    Xiaojie He, Jiachen Wan, Songyang Zhang, Chenggang Zhang, Peng Xiao, Feng Zheng, Qinghua Lu

    Read original paper ↗ ·
  34. Predicting possible polymer sequences based on given adhesive free energies of polymer-surface interactions using deep learning

    Chemical Physics Letters · 2025

    Liyang Xu, Yi Yang, Bo Yin

    Read original paper ↗ ·
  35. Recent Progress of Artificial Intelligence Application in Polymer Materials

    Polymers · 2025

    Teng Long, Qianqian Pang, Yanyan Deng, Xiteng Pang, Yixuan Zhang, Rui Yang, Chuanjian Zhou

    Read original paper ↗ ·
  36. Multitarget Generate Electrolyte Additive for Lithium Metal Batteries

    Advanced Materials · 2025

    Xiangyang Liu, Jianchun Chu, Sa Xue, Daquan Wang, Zhuoyang Lu, Meng Zhang, Yongqi Liu, Xin Xu, Yilin Zhang, Jiangang Long, Lingjie Meng, Jiayin Yuan, Maogang He

    Read original paper ↗ ·
  37. 27Chapter 2 Machine learning applications in material science: unveiling innovative solutions

    De Gruyter eBooks · 2025

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

    Read original paper ↗ ·
  38. 97Chapter 5 AI-powered polymer sequence design: applications and innovations

    De Gruyter eBooks · 2025

    Syed Salman Ali, Hrithik Dey, Atifa Khan, Bhoomika Chaudhary, Yarun, Mohammad Asif

    Read original paper ↗ ·
  39. Machine-Learning-Assisted Molecular Design of Innovative Polymers

    Accounts of Materials Research · 2025

    Tianle Yue, Jianxin He, Ying Li

    Read original paper ↗ ·
  40. Accessing Equilibrious Modulation of Activity, Molecular Weight, and Tacticity for Syndiotactic Propylene Polymerization at Industrial Relevant Temperatures via Rational Design of Single‐Site Catalysts

    Macromolecular Rapid Communications · 2025

    Yong‐Qing Li, Yuqing Peng, Gui‐Ping Cao, Yucai Cao

    Read original paper ↗ ·
  41. A review on electrolyte innovation enabled by machine learning for energy storage applications

    Materials Today Physics · 2025

    Nishant Shukla, Manashi Saikia, Madhuryya Deka

    Read original paper ↗ ·
  42. The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human‐AI Symbiosis in Self‐Driving Polymer Laboratories

    Macromolecular Rapid Communications · 2025

    Bahar Dadfar, Berna Alemdag, Gözde Kabay

    Read original paper ↗ ·
  43. Flexible Iontronic Sensing: Ionic Materials, Electrodes, and Encapsulation

    Advanced Functional Materials · 2025

    Xingxing Chen, Xia Xi, Chuan Fei Guo

    Read original paper ↗ ·
  44. Advanced Design for High-Performance and AI Chips

    Nano-Micro Letters · 2025

    Ying Cao, Yuejiao Chen, Xi Fan, Hong Chuan Fu, Bingang Xu

    Read original paper ↗ ·
  45. Bridging small molecule calculations and predictable polymer mechanical properties

    Nature Communications · 2025

    Luping Wang, Kaiqiang Zhang, Kaiyang Hou, Yuguo Xia, Xu Wang

    Read original paper ↗ ·
  46. Statistics in enabling 2D materials: Optimization, predictive modelling, and data-driven discovery

    Materials Today Physics · 2025

    Johnson Kehinde Abifarin, Yuerui Lu

    Read original paper ↗ ·
  47. Phytic acid chelation-assisted deep eutectic solvents for constructing high-cycle-stability SnP2O7/C anode materials in Li-Ion batteries

    Journal of Alloys and Compounds · 2025

    Yuchen Wu, Jiajia Li, ZhiTeng Wang, Chao Wan, Zhiqiang Liu, Zhenhe Zhu, Huixin Lan, Hui Li

    Read original paper ↗ ·
  48. Flame-retardant coatings: Recent advances in materials, mechanisms, and multifunctional applications

    Progress in Organic Coatings · 2025

    S. Manivannan

    Read original paper ↗ ·
  49. Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment

    ACS Nano · 2025

    Peiyu Yan, Jing Sun, Yuehua Zhao, Wei Deng, Miaomiao Zhang, Yang Li, Xiangru Chen, Ming Hu, Jilin Tang, Dapeng Wang

    Read original paper ↗ ·
  50. Modeling gas transport in organic molecular sieve membranes

    AIChE Journal · 2025

    Yuhan Yang, Yi Wang, Yanan Liu, Seda Keskın, Zhongyi Jiang

    Read original paper ↗ ·