退火(玻璃)
材料科学
模拟退火
透射电子显微镜
图像(数学)
迭代重建
层流
纳米技术
计算机科学
算法
物理
人工智能
复合材料
热力学
作者
Jean‐Marc Leyssale,Jean‐Pierre da Costa,Christian Germain,P. Weisbecker,Gerard Louis Vignoles
摘要
A method for the generation of atomistic models of dense nanotextured carbons is presented. This method is based on the statistical analysis of high resolution transmission electron microscopy images and their three-dimensional (3D) extension through image synthesis under constraint. The resulting 3D images then serve as an external potential bringing the atoms to settle preferentially on the black areas during a conventional simulated annealing simulation. Application of this method to the case of two laminar pyrocarbons, differing in their degree of disorder, highlights the promising nature of this approach.
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