Articles
AI for Materials
Collaborative AI Enhances Image Understanding in Materials Science
Ruoyan Avery Yin, Zhichu Ren, Zongyou Yin, Zhen Zhang, So Yeon Kim, Chia-Wei Hsu, Ju Li
2026, 1(1): 6. doi: 10.53941/aimat.2026.100006
Driving Catalytic Innovation: The Development and Application of Machine Learning Force Fields
Xiaoyi Hu, Guanjie Wang, Cuilian Wen, Baisheng Sa
2026, 1(1): 5. doi: 10.53941/aimat.2026.100005
Let Materials Science Data Learn to Reason
Tongao Yao, Aoni Xu, Pengfei Ou, Weijie Yang
2026, 1(1): 4. doi: 10.53941/aimat.2026.100004
Supervised Machine Learning Assisted Development of Hybrid Solvation Model for Simulating Graphene-Water Interface
Jordan Clive Barker, William Wen, Yun Wang
2026, 1(1): 3. doi: 10.53941/aimat.2026.100003
Data Speaks: LLM-Enabled Evidence Auditing Resets the “Migration Barrier” Playbook for Solid-State Electrolytes
Limin Li, Kan Xu, Rui Su, Huan Gu, Piao Ma
2026, 1(1): 2. doi: 10.53941/aimat.2026.100002
Zongyou Yin
2026, 1(1): 1. doi: 10.53941/aimat.2026.100001
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