Particle-mesh two-dimensional pattern reverse Monte Carlo analysis on filled-gels during uniaxial expansion

Soft Matter ◽  
2019 ◽  
Vol 15 (36) ◽  
pp. 7237-7249
Author(s):  
Katsumi Haita

A particle-mesh-based two-dimensional pattern reverse Monte Carlo (RMC) analysis method (PM-2DpRMC) is proposed for analyzing two-dimensional small-angle-scattering (2D-SAS) patterns. The validities of this PM-2DpRMC method were confirmed.

2008 ◽  
Vol 47 (5-6) ◽  
pp. 537-541 ◽  
Author(s):  
Katsumi Hagita ◽  
Takashi Arai ◽  
Hiroyuki Kishimoto ◽  
Norimasa Umesaki ◽  
Hiroya Suno ◽  
...  

2000 ◽  
Vol 78 (6) ◽  
pp. 3240-3251 ◽  
Author(s):  
Paolo Mariani ◽  
Flavio Carsughi ◽  
Francesco Spinozzi ◽  
Sandro Romanzetti ◽  
Gerd Meier ◽  
...  

2017 ◽  
Vol 50 (3) ◽  
pp. 951-958 ◽  
Author(s):  
Sen Chen ◽  
Juncheng E ◽  
Sheng-Nian Luo

SLADS(http://www.pims.ac.cn/Resources.html), a parallel code for direct simulations of X-ray scattering of large anisotropic dense nanoparticle systems of arbitrary species and atomic configurations, is presented. Particles can be of arbitrary shapes and dispersities, and interactions between particles are considered. Parallelization is achieved in real space for the sake of memory limitation. The system sizes attempted are up to one billion atoms, and particle concentrations in dense systems up to 0.36. Anisotropy is explored in terms of superlattices. One- and two-dimensional small-angle scattering or diffraction patterns are obtained.SLADSis validated self-consistently or against cases with analytical solutions.


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