cond-mat.mtrl-sci · 2026-07-01 · No. 40

Materials Science, 2026-07-01.

1 new papers in cond-mat.mtrl-sci. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    From Materials Database to Materials Bank: Assetizing Data for AI Driven Materials Innovation

    Chenyao Ma, Di Zhang, Weibo Gong, Wei Du, Rui Su, Yuhang Chen, Kan Xu, Huan Gu, Limin Li, Piao Ma, Zhenghao Li, Hao Li

    cond-mat.mtrl-sci · cs.AI · physics.chem-ph

    Driven by high-throughput experimentation, computational modeling, and artificial intelligence (AI), materials data has expanded at an unprecedented rate. Conventional materials databases function only as passive repositories, archiving raw experimental records indiscriminately including both successful and failed data, without systematic value filtering or asset management. This creates a critical gap between massive data accumulation and...

    arxiv.org/abs/2606.31366 · PDF

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