Papers citing Auto-MatRegressor: liberating machine learning alchemists
Graph representation learning for predicting creep rupture life in Nickel-Based single crystal superalloys
Measurement · 2026-04-09
Wenbo Gao, X.M. Wang, Shouyi Sun, Zhuo Xue, Tao Zhang, Bowen Qi
Read original paper ↗ ·LiClustCondAI: A clustering-based ensemble regression framework for ionic conductivity predictions in solid-state electrolytes
Journal of Power Sources · 2026-04-21
Bijan Paul, Samarpan Mohanty, Hongzhi Guo, Mona Bavarian
Read original paper ↗ ·The role and strategies of data-driven machine learning in design optimization and performance evaluation of electrochemical energy storage materials
Journal of Energy Storage · 2026-04-21
Jingxuan Lu, Xinwen Bi, Zhi Qu
Read original paper ↗ ·AI-enabled cross-scale modeling and parameter transfer for lithium-ion batteries
Energy storage materials · 2026-05-16
Yikai Hu, Yanfeng Xie, Li Zhao, Xiayu Zhu, Wenjie Meng, Zhenwei Zhu, Xibang Chen, Jingyi Qiu, Hai Ming, Hao Zhang
Read original paper ↗ ·Application of Machine Learning in the Study of Creep Properties of Alloys
cScience · 2026-06-01
Kai Zhou, Jingjin He, H B Wu, Yan Wei, Xiaoyu Chong
Read original paper ↗ ·Machine learning-driven prediction and validation for ionic conductivity of hydrogel electrolytes
Electrochimica Acta · 2026-06-04
Ruilin Liu, Jing Xu, Yibing Xie
Read original paper ↗ ·SIMON: Intelligent System for Automatic Selection of Machine Learning Algorithms in Social Sciences
Lecture notes in computer science · 2026-06-29
Dijana Oreški, Marija Pokos Lukinec, Dino Vlahek
Read original paper ↗ ·Intelligent Computing for Future Layered Cathodes in Sodium‐Ion Batteries
Small · 2026-07-16
Qingfeng Liu, Zitong Fei, Jinhua Shi, Fanbin Hu, Yun Shen, Huiying Kan, Yiming Zhang, Haigang Dong, Qi Meng, Peng Dong, Yingjie Zhang
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 ↗ ·Revealing interaction mechanisms of substitutional and interstitial solutes in metals through machine learning
Transactions of Nonferrous Metals Society of China · 2026-08-01
Kang-ni He, Rui WANG, Guo-Zheng Feng, Liang CHEN, Xiang-Shan Kong
Read original paper ↗ ·Uncertainty in Process Mining: Survey and Conceptual Framework
ACM Computing Surveys · 2026-08-11
Arvid Lepsien, Milda Aleknonytė‐Resch, Matthias Weidlich, Agnes Koschmider
Read original paper ↗ ·Artificial intelligence-assisted investigation of ion transport mechanisms and material screening for solid-state electrolytes
Energy storage materials · 2026-09-02
Xuhui Wang, Shaoqiang Niu, Dongze Li, Zhuan Wang, Hongwei Zhou, Xufeng Dong, Yao Yao
Read original paper ↗ ·A document-level information extraction pipeline for high-entropy layered cathode materials in sodium-ion batteries
Chinese Journal of Chemical Engineering · 2026-10-01
Hongbin Yao, Yidan Shu
Read original paper ↗ ·