RESEARCH PAPER · Tribology International · 2025
Accelerating tribological material discovery: A machine learning framework with predictive insights
Read original paper ↗See where this research leads.
20 direct citing papers in this saved network. Explore the next layer with second-order citations.
Filter Citing Papers Filters active
All journals
No journals match your search.
Most represented first · select one or moreExplore Terms In These PapersHide SuggestionsShow Suggestions
No citing papers match these filters. Change a term or clear filters to see the network again.
Abstract From The Index
Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.
Browse Matching Papers
Papers that cite this work
20 direct citing papers saved.
Development of an Artificial Neural Network-Based Tool for Predicting Failures in Composite Laminate Structures
Biomimetics · 2025-08-08
Milica Milić, Jelena Svorcan, Ivana D. Atanasovska
Read original paper ↗ ·Physics-informed machine learning for explainable prediction of friction and wear in carbon-ceramic composites
Ceramics International · 2025-09-27
Yadong Li, Bing Liu, Zhaofu Zhang, Zhaofu Zhang, Wengen Ouyang, Weiwei Shi, Zhenghua Chang, Zheng Hu, Kun Zhang, Bingchen Wei
Read original paper ↗ ·Integrated experimental and machine learning analysis of Al-Si/CSA/MoS2 hybrid composites for enhanced mechanical and tribological performance
Next Materials · 2026-01-09
Sivasankara Raju Rallabandi, Pandi Thimothy, Gandi Ramarao, Devi Prasad Pilla, Bondala Ramakrishna, Azad Duppala
Read original paper ↗ ·Friction and wear prediction of copper-free resin-based brake materials: A hybrid PSO-FPA-BP neural network approach
Wear · 2026-01-12
Kaikui Zheng, Qing Le, Ling Pan, Jianmeng Huang
Read original paper ↗ ·Machine learning in tribology: A review on framework, case studies, and future perspectives
Journal of Manufacturing Processes · 2026-01-18
Yadong LI, Bing Liu, Zhenghua Chang, Zhaofu Zhang, Wengen Ouyang, Zishang Liu, Quanyu Jiang, Yizhe Liu, A. W. Huang, Yuxin Wu, Zheng Hu, Hai Lan, Ming Han, Yunjian Bai, Kun Zhang, Bingchen Wei
Read original paper ↗ ·Machine Learning Prediction of Tribological Properties of Graphene‐Reinforced Perfluoroelastomer Composites Based on Molecular Dynamics Simulations and Experimental Research
Polymer Composites · 2026-01-22
Shengbo Jin, Jing Zhao, Xueying Tan, Bowen Jiang
Read original paper ↗ ·Applications of classical and quantum machine learning in manufacturing: predictive maintenance, scheduling and tribology
Next research. · 2026-02-24
Abdullah Jawad, Ethan Stefan-Henningsen, Amirkianoosh Kiani
Read original paper ↗ ·Impact of metallurgical parameters on wear rate and COF of DP steels using ML-driven methods
Results in Engineering · 2026-03-17
Masoud Safarpour, Aliakbar Ekrami, M. Kazeminezhad
Read original paper ↗ ·Machine learning applications in metallic materials: Recent advances and future perspectives
Journal of Alloys and Compounds · 2026-03-24
Bin Miao, Guan-Qi Lin, Yuan Zhang, Yu-Wei Cheng, Huan Yang
Read original paper ↗ ·Future research directions and applications of artificial intelligence in tribology
Discover Mechanical Engineering · 2026-04-23
Amrinder Mehta, Hitesh Vasudev, S. Sabareshwaran, B. V. Suma, Jashanpreet Singh, Brijesh Prasad, Saravjeet Singh, Oda Tadese Katelo
Read original paper ↗ ·Recent advances and optimization strategies in tribological performance of high entropy alloys
Tribology International · 2026-04-25
Z Chen, Chenguang Gao, Xuhui Pei, Mingchuan Hu, Yin Du, Tao Yang, Benyebka Bou‐Saïd, H P Wang
Read original paper ↗ ·Experimental Investigation and Predictive Modelling of Tribological Behaviour in Fly Ash Reinforced Polymer Composites Fabricated via Stereolithography
Journal of Bio- and Tribo-Corrosion · 2026-05-16
R. Keshavamurthy, V. Suma, C.S.Ramesh, Ali A. Rajhi, Alaauldeen A. Duhduh, Y. P. Ravitej
Read original paper ↗ ·Accelerating inverse design of wear resistant high entropy alloys via multiscale informatics
Journal of Alloys and Compounds · 2026-05-19
Haobing Hu, Xiaoliang Shi, Chaohua Wu, Yuxuan Chen, Haowen Qin, Wenzheng Zhai, Xiyao Liu, Ahmed Mohamed Mahmoud Ibrahim
Read original paper ↗ ·A small-sample prediction framework for fretting wear rate of Zr alloy based on response surface methodology and transfer learning
Tribology International · 2026-05-23
Qi Sun, Haowen Tang, Zhihua Lü, Mingyang Zuo, Pengfei Yang, Xiaoqiang Fan, Minhao Zhu
Read original paper ↗ ·Deconstructing Triboinformatics: A Conceptual Framework for the Intersection of Machine Learning and Tribology
Journal of Tribology · 2026-05-29
Amir Kordijazi
Read original paper ↗ ·Solid Lubrication
Elsevier eBooks · 2026-06-15
Xudong Sui, Carsten Gachot, Edoardo Marquis
Read original paper ↗ ·Machine learning for cracking the molecular code of room-temperature organic phosphorescent materials: From structure-property relationship to performance prediction
Green Energy & Environment · 2026-08-01
Yan Hu, Senlin Tian, Yingjie Li
Read original paper ↗ ·TriboBERT: A pre-training language model tailored for tribology
Tribology International · 2026-08-27
Wenhao He, Zhibin Lu
Read original paper ↗ ·Machine learning-assisted analysis of friction and transfer films in Cu-CNTs-Graphite composites
Materials Chemistry and Physics · 2026-09-18
Xin Zhang, Jiashang Li, Hanhan Yang, Xiongwei Shi, Meiling Xie, Liuchen Wu
Read original paper ↗ ·A hybrid machine learning framework for predicting thermal response, wear and lubrication regime evolution in graphene-enhanced grease
Results in Engineering · 2026-10-07
Ethan Stefan-Henningsen, Amirkianoosh Kiani
Read original paper ↗ ·