English(EN) PXtal: Learning to Align Powder X-Ray Diffraction and Crystal Structures under Information Asymmetry across Modalities

新的PXtal框架改进了X射线衍射和晶体结构的对齐

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

研究人员开发了PXtal，一个旨在改进粉末X射线衍射（PXRD）图谱与其对应晶体结构对齐的新框架。这尤其具有挑战性，因为PXRD数据是3D晶体结构的低维表示，固有地丢失了信息。PXtal采用不平衡最优传输和广义Kullback-Leibler散度来更好地处理这种信息不对称，在从PXRD图谱检索正确晶体结构方面优于基线模型，尤其是在晶体学差异细微的情况下。 AI

影响该框架可以通过AI改进复杂材料结构的分析，从而推动科学发现。

排序理由研究论文，详细介绍了一种新的科学多模态学习方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Zhuoran Yang, Christopher M. Collins, Bei Peng, Luke M. Daniels, Matthew J. Rosseinsky, Vladimir V. Gusev · 2026-10-09 04:00

PXtal：学习在跨模态信息不对称下对粉末X射线衍射和晶体结构进行对齐

arXiv:2610.10653v1 Announce Type: new Abstract: Scientific multimodal learning commonly assumes that paired views are comparably informative. Powder X-ray diffraction (PXRD) makes this mismatch explicit: compressing a three-dimensional crystal structure into a one-dimensional dif…

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报道来源 [1]

PXtal：学习在跨模态信息不对称下对粉末X射线衍射和晶体结构进行对齐

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