Papers citing Materials Data toward Machine Learning: Advances and Challenges
Extracting and reconstructing knowledge in materials science literature using large language models
Communications Materials · 2026-01-08
Shuyuan Li, Shihao Wei, Chenyu Huang, Yunjiang Zhang, Guizhen Zhang, Shaorui Sun
Read original paper ↗ ·Machine Learning-Assisted Polymer and Polymer Composite Design for Additive Manufacturing
AI Materials · 2026-01-17
Kingsley Yeboah Gyabaah, Bernard Mahoney, Anthony Kwasi Martey, Cheng Yan, Patrick F. Mensah, Guoqiang Li
Read original paper ↗ ·Contrastive learning for data-efficient substrate deoxidation monitoring in edge-side adaptive molecular beam epitaxy systems
Journal of Semiconductors · 2026-03-01
Yuehao Li, Cai Shen, Wenkang Zhan, Bowen Xu, Yazhou Yang, Xu Zhang, Hongchang Wang, Chao Zhao, Haifang Jian
Read original paper ↗ ·Data Distribution Matters: Enhancing model generalization in Data-Driven Materials Discovery by intentionally exploiting both positive and negative data
Acta Physico-Chimica Sinica · 2026-03-01
Yiheng Wu, Lijun Liu, Wei Deng, Haodong Jiang, Ruotong Li, Ming Hu, Bo Peng, Dapeng Wang
Read original paper ↗ ·Machine Learning Prediction of Crystal Structure Stability toward the Design of High-Entropy Oxides
Chinese Physics Letters · 2026-03-30
Qiancheng Zhou, C. Wang, Liyuan Wang, Zhouzhou Wang, Ming Qiu, Mingdong Dong, Ying Yu
Read original paper ↗ ·Unveiling Tribological Mechanisms of MoS2 Coatings on FeNiCr Alloys via Molecular Dynamics and Machine Learning
Chinese Journal of Mechanical Engineering · 2026-05-01
Kun Guo, Hang Li, Xibo Shao, Junqin Shi, Liangzhu Zhang, Xian-Zong Wang, Jianxi Liu, Cheng‐Feng Du, Jie Wang, Shaowei Feng, Long Wang
Read original paper ↗ ·Data-driven design of electrocatalysts: Machine learning workflows, paradigm shifts, and applications
Advanced Powder Materials · 2026-05-21
Ziwei Liu, Hanqing Gu, Liwei Yang, Wengcheng Wu, Zhong Huang, Haozhi Wang, Yang Wang, Yida Deng
Read original paper ↗ ·Quantifying and Interpreting Solvation Power of Cyclic Carbonate by Chemical Calculation and Machine Learning
The Journal of Physical Chemistry Letters · 2026-05-26
Tong Wu, Zhong-Yang LIU, J W Zhang, Qi-Kai Ma, Hao-Xiong Nan, Weijie Chi, Ebrahim Nemati‐Kande, Akbar Dauletbay, Xin-Bing Cheng, Long Kong
Read original paper ↗ ·Data-richness-driven machine learning for predictive design of high-performance g-C₃N₄ photocatalysts in NO removal
Results in Engineering · 2026-07-14
Tianfang Li, Caijuan Xia, Huanyu Pei, Hongjuan Hao, Wingkei Ho, Dingze Lu
Read original paper ↗ ·Machine learning modeling reveals unconventional nucleation mechanism in phase‐change material GeTe
InfoScience. · 2026-08-14
Siqi Tang, Qundao Xu, Shaojie Yuan, Rui Chen, Hengyi Hu, Meng Kai Xu, Kan‐Hao Xue, Nian‐Ke Chen, Riccardo Mazzarello, Xianbin Li, Xiangshui Miao, Ming Xu
Read original paper ↗ ·A Dual Machine‐Learning Framework for Predicting Phase Stability and Mixing Enthalpy Difference in MSi 2 ‐Type High‐Entropy Refractory Metal Silicides
Advanced Engineering Materials · 2026-08-31
Nidhi Rawat, Deepak S. Bisht, A. Perumal
Read original paper ↗ ·