通过深度学习的辅助,SEM图像处理量化了半孔型γ-的空间异质性及其对质量转移的预测影响
Aleksandra Głowska1,2, Elsa Jolimaitre2, Adam Hammoumi2
1Centre for Nature Inspired Engineering and Department of Chemical Engineering, University College London, London WC1E 7JE, United Kingdom.
概括
描述孔催化剂支物,如玛 (γ-Al2O3) 是更好的催化剂设计的关键. 孔隙的空间异质性对凸度的影响很小,除非包含含量很高,孔隙差异很大.
科学领域:
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
- 催化剂是一种催化剂.
背景情况:
- 多孔异质催化剂支持显著影响质量转移动力学.
- 了解结构-运输关系对于设计具有更好的性能和耐用性的先进催化剂至关重要.
研究的目的:
- 使用先进的成像和分析量化玛 (γ-Al2O3) 的空间异质性.
- 开发一个 γ-Al2O3 组织模型,并根据孔径变化预测曲率.
- 评估空间多孔性异质对有效扭曲性的影响.
主要方法:
- 结合N2吸附/脱附和孔度与先进的SEM成像技术.
- 利用深度学习语义细分和校准的灰度分析来处理SEM图像.
- 基于有效介质理论 (EMT) 的模型用于曲率因子预测.
主要成果:
- 在γ-Al2O3.3.中量化包含体积分数和相间孔隙性差异的量化含量.
- 发现空间多孔性异质对被研究的酸的形性的影响微不足道.
- 确定异质性在≥30%的纳入含量和>20%的相间孔隙性差异时变得显著.
结论:
- 开发了一种机器学习支持的孔隙材料特征的方法.
- 拟议的平台提供了一种分析多孔材料空间异质性的通用方法.
- 突出了孔隙异质性显著影响催化剂支性能的条件.
相关概念视频
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A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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