AI-Powered Visualization of Invisible Mechano-Information: Stress, Defects, and Beyond

IF 19 1区材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Advanced Functional Materials Pub Date : 2025-05-13 DOI:10.1002/adfm.202506790

Qingkun Zhao, Zhenghao Zhang, Huajian Gao, Haofei Zhou

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Abstract

Despite significant advances in high-resolution structural characterization, visualizing complex mechano-information—such as local stress fields induced by lattice distortions or elemental distributions—remains a formidable challenge. This “invisible” information, inaccessible through current experimental techniques, hinders a comprehensive understanding of material properties and behaviors across multiple fields. Artificial intelligence (AI) has emerged as a transformative tool, bridging material properties with their structures and enabling the visualization of previously hidden mechano-information. This review explores AI-driven approaches to reveal mechano-information, including local stress distributions across scales (from macroscale to nanoscale) and the distribution of ultra-light elements at lattice defects, along with their effects on local stress fields. Additionally, recent AI-assisted methods for visualizing structural, chemical, and functional information are highlighted, and current challenges and future opportunities in this rapidly evolving field are discussed.

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无形机械信息的人工智能可视化：压力、缺陷等

尽管在高分辨率结构表征方面取得了重大进展，但可视化复杂的力学信息（如由晶格畸变或元素分布引起的局部应力场）仍然是一个艰巨的挑战。这种“看不见”的信息，通过目前的实验技术无法获得，阻碍了对材料特性和跨多个领域行为的全面理解。人工智能（AI）已经成为一种变革性的工具，将材料特性与其结构联系起来，并使以前隐藏的机械信息可视化。这篇综述探讨了人工智能驱动的方法来揭示力学信息，包括跨尺度（从宏观尺度到纳米尺度）的局部应力分布和晶格缺陷处超轻元素的分布，以及它们对局部应力场的影响。此外，强调了最近用于可视化结构，化学和功能信息的人工智能辅助方法，并讨论了这一快速发展领域的当前挑战和未来机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advanced Functional Materials 工程技术-材料科学：综合

CiteScore

29.50

自引率

4.20%

发文量

2086

审稿时长

2.1 months

期刊介绍： Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.