arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2409.04727cond-mat.mtrl-sci
收藏

使用生成模型进行粉末衍射晶体结构解析

Powder Diffraction Crystal Structure Determination Using Generative Models

Qi Li, Rui Jiao, Liming Wu, Tiannian Zhu, Wenbing Huang, Shifeng Jin, Yang Liu, Hongming Weng, Xiaolong Chen

AI总结:

本文提出端到端神经网络PXRDGen,融合预训练XRD编码器、扩散/流结构生成器与Rietveld精修模块,从PXRD数据快速解析原子级精确无机晶体结构,匹配率最高达96%。

摘要:

准确的晶体结构解析在所有涉及晶体材料的科学学科中都至关重要。然而,传统上从粉末X射线衍射(PXRD)数据求解和精修无机晶体结构是一项劳动密集且耗时的过程,需要大量专业知识。在本工作中,我们提出了PXRDGen,这是一种端到端神经网络,通过从实验稳定晶体及其PXRD中学习联合结构分布来确定晶体结构,并生成经PXRD数据精修的原子级精确结构。PXRDGen集成了预训练XRD编码器、基于扩散/流的结构生成器以及Rietveld精修模块,能够在数秒内以无与伦比的精度求解结构。在MP-20无机数据集上的评估显示,对于有效化合物,其匹配率高达82%(1个样本)和96%(20个样本),均方根误差(RMSE)接近Rietveld精修的精度极限。PXRDGen有效解决了XRD中的关键挑战,例如轻原子的精确定位、相邻元素的区分以及重叠峰的解析。总体而言,PXRDGen标志着从粉末衍射数据自动确定晶体结构的重大进步。

英文摘要:

Accurate crystal structure determination is critical across all scientific disciplines involving crystalline materials. However, solving and refining inorganic crystal structures from powder X-ray diffraction (PXRD) data is traditionally a labor-intensive and time-consuming process that demands substantial expertise. In this work, we introduce PXRDGen, an end-to-end neural network that determines crystal structures by learning joint structural distributions from experimentally stable crystals and their PXRD, producing atomically accurate structures refined through PXRD data. PXRDGen integrates a pretrained XRD encoder, a diffusion/flow-based structure generator, and a Rietveld refinement module, enabling the solution of structures with unparalleled accuracy in a matter of seconds. Evaluation on MP-20 inorganic dataset reveals a remarkable matching rate of 82% (1 sample) and 96% (20 samples) for valid compounds, with Root Mean Square Error (RMSE) approaching the precision limits of Rietveld refinement. PXRDGen effectively tackles key challenges in XRD, such as the precise localization of light atoms, differentiation of neighboring elements, and resolution of overlapping peaks. Overall, PXRDGen marks a significant advancement in the automated determination of crystal structures from powder diffraction data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑