Shrivastav Gaurav P, Banerjee Varsha, Puri Sanjay
School of Physical Sciences, Jawaharlal Nehru University, 110067, New Delhi, India.
Eur Phys J E Soft Matter. 2014 Oct;37(10):98. doi: 10.1140/epje/i2014-14098-9. Epub 2014 Oct 28.
Many experiments yield multi-scale morphologies which are smooth on some length scales and fractal on others. Accurate statements about morphological properties, e.g., roughness exponent, fractal dimension, domain size, interfacial width, etc. are obtained from the correlation function and structure factor. In this paper, we present structure factor data for two systems: (a) droplet-in-droplet morphologies of double-phase-separating mixtures; and (b) ground-state morphologies in dilute anti-ferromagnets. An important characteristic of the scattering data is a non-Porod tail, which is associated with scattering off rough domains and interfaces.
许多实验产生了多尺度形态,这些形态在某些长度尺度上是光滑的,而在其他尺度上是分形的。关于形态学性质的准确描述,例如粗糙度指数、分形维数、域大小、界面宽度等,是从相关函数和结构因子中获得的。在本文中,我们给出了两个系统的结构因子数据:(a)双相分离混合物的液滴内液滴形态;(b)稀反铁磁体中的基态形态。散射数据的一个重要特征是一个非Porod尾,它与从粗糙域和界面的散射有关。