Pre-onlines

Zhede Zhao, Tao Hu, Shuyu Bi, Dongwei Guan, Songzhe Xu, Chaoyue Chen, Weidong Xuan, Zhongming Ren

DOI: 10.20517/jmi.2025.42 28 Jul 2025

Yu Wang, Fei Wang, Guangmao Yan, Jun Wang, Guodong Niu, Jing Feng, Jian Mao, Yan Zhao

DOI: 10.20517/jmi.2025.45 28 Jul 2025

Zhilong Wang, Fengqi You

DOI: 10.20517/jmi.2025.41 5 Aug 2025

Lijun Shang, Yongli Yang, Yadong Yu, Pan Xiang, Li Ma, Zhonglu Guo, Mengyan Dai

DOI: 10.20517/jmi.2025.36 5 Aug 2025

Rika Kobayashi, Roger D. Amos, T. Daniel Crawford, Hongxia Hao, Yi Liu, Turab Lookman, Rampi Ramprasad, Matthias Scheffler, Hong Wang, Tong-Yi Zhang

DOI: 10.20517/jmi.2025.44 5 Aug 2025

Advances in Graph Neural Networks for alloy design and properties predictions: a review

Zhede Zhao, Tao Hu, Shuyu Bi, Dongwei Guan, Songzhe Xu, Chaoyue Chen, Weidong Xuan, Zhongming Ren

MatSci-ML Studio: an interactive workflow toolkit for automated machine learning in materials science

Yu Wang, Fei Wang, Guangmao Yan, Jun Wang, Guodong Niu, Jing Feng, Jian Mao, Yan Zhao

The synergy of geometric tolerance factor and machine learning in discovering stable materials

Zhilong Wang, Fengqi You

Stacked machine learning for accurate and interpretable prediction of MXenes' work function

Lijun Shang, Yongli Yang, Yadong Yu, Pan Xiang, Li Ma, Zhonglu Guo, Mengyan Dai

Unlocking the future of materials science: key insights from the DCTMD workshop

Rika Kobayashi, Roger D. Amos, T. Daniel Crawford, Hongxia Hao, Yi Liu, Turab Lookman, Rampi Ramprasad, Matthias Scheffler, Hong Wang, Tong-Yi Zhang