Deciphering the Structure of Amorphous Functional Materials using 4D-STEM
Deciphering the Structure of Amorphous Functional Materials using 4D-STEM
复制标题
使用 4D-STEM 解读非晶功能材料的结构
DOI:
10.1093/micmic/ozad067.144
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发表时间:
2023
影响因子:
2.8
通讯作者:
Hwang, Jinwoo
中科院分区:
文献类型:
--
作者:
Ortiz, Gabriel Calderón;Im, Soohyun;Abbasi, Mehrdad;Islam, Minhazul;Hwang, Jinwoo
Understanding amorphous materials is not only a fundamental problem but also a practical one, since controlling the flexible nature of the atomic configuration in amorphous materials can potentially lead to novel properties that are not achievable in crystalline materials. However, unlike in crystalline materials, characterizing and understanding the structure of amorphous materials remain formidably challenging due to the lack of long-range atomic ordering. Instead, a few decades of theoretical and experimental works have revealed that the atomic ordering at certain length scales, namely short-range ordering and medium range-ordering (MRO) may be the key to understanding the important properties of these materials. Fluctuation electron microscopy (FEM) has been an effective way to understand the MRO and how it attributes to the overall degree of structural fluctuation in amorphous materials. In recent few years, significant advances have been made in FEM by the introduction of high-dynamic range pixelated STEM detector [1]. This led to a deeper understanding of the structure of amorphous materials by enabling the full 4-dimensional acquisition of scanning nanodiffraction patterns, which provides statistically significant information about how MRO forms and influence their important properties critical to their applications [2, 3]. In this work, we introduce two analysis methods enabled by 4D-STEM, angular correlation (AC) and MRO size histogram analyses, that provide new detailed information about the nanoscale atomic or molecular ordering in various amorphous materials. AC analysis calculates the autocorrelation function as a function of the azimuthal angle within each nanodiffraction pattern (Fig. 1a), which is then presented as a function of the scattering vector magnitude k, and averaged over∼ 100,000 nanodiffraction patterns to achieve statistical significance. The resulting AC reveals the structural symmetry within the MRO, which complements the information from intensity variance (also as a function of k) by adding a new dimension in the reciprocal space. The other method, MRO size histogram analyses, is based on directly mapping the MRO domains by reconstructing the 4D-STEM data into real space, and then analyzing the distribution of their sizes in a large area, which provides the histogram of the MRO size as a function of k. This analysis provides unique important information about how the types of the MRO (based on their k value) relate to their average sizes.We present the results from three types of very different amorphous functional materials. First, we show that AC analysis from Zr-Cu-Al bulk metallic glasses show remarkable changes in their nanoscale symmetry when Al is added and Zr concentration is progressively increased (Fig. 1b). The result reveals the first experimental evidence that the addition of Al alleviates the FCC-like Cu-rich MRO and increases the glass forming ability, and higher Zr concentration increases the icosahedral-like ordering that likely corresponds to the structure generated by the previously performed reverse Monte Carlo (RMC) simulation incorporating FEM data [4](Fig. 1c). Second, we show the evolution of MRO in amorphous TiO2 films grown by atomic layer deposition as a function of ALD growth and post-annealing temperatures, which eventually leads to nucleation of nano crystals that are important for understanding and optimizing the efficiency and lifetime of the novel photoelectrochemical cells [5, 6]. And finally, we show the investigation of the high performance organic photovoltaic (OPV) polymers that show dramatic differences in their molecular ordering at the nanoscale. For example, the …