开放分子晶体2025 (OMC25) 数据集和模型
Vahe Gharakhanyan1, Luis Barroso-Luque2, Yi Yang3
1Fundamental AI Research, Meta, San Francisco, CA, US. vaheg@meta.com.
一个包含超过2700万个分子晶体结构的新数据集,Open Molecular Crystals 2025 (OMC25),已经发布. 本资源旨在加速机器学习模型的开发,用于预测晶体特性.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学计算化学
- 数据科学数据科学数据科学
背景情况:
- 对分子晶体的机器学习因缺乏标记的属性数据而受到限制.
- 预测晶体结构和特性需要广泛的,高质量的数据集.
研究的目的:
- 介绍开放分子晶体2025 (OMC25) 数据集.
- 促进分子晶体准确机器学习模型的开发.
主要方法:
- 产生了超过2700万个分子晶体结构.
- 使用分散式DFT (PBE+D3) 的放松的23万个结构.
- 包括各种化学化合物和包装图案.
主要成果:
- OMC25数据集包含各种晶体结构和特性.
- 机器学习的原子间潜力在OMC25上进行了训练和评估.
- 证明了数据集对推进晶体结构预测的实用性.
结论:
- OMC25数据集解决了分子晶体标记数据的稀缺问题.
- OMC25的公开可用性将加速ML模型的开发.
- 促进材料科学和计算化学方面的研究.
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