arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2002.07294cond-mat.soft
收藏

Shear induced ordering in systems with competing interactions: A machine learning study

Jakub Pękalski, Wojciech Rządkowski, Athanassios Z. Panagiotopoulos

英文摘要:

When short-range attractions are combined with long-range repulsions in colloidal particle systems, complex microphases can emerge. Here, we study a system of isotropic particles which can form lamellar structures or a disordered fluid phase when temperature is varied. We show that at equilibrium the lamellar structure crystallizes, while out of equilibrium the system forms a variety of structures at different shear rates and temperatures above melting. The shear-induced ordering is analyzed by means of principal component analysis and artificial neural networks, which are applied to data of reduced dimensionality. Our results reveal the possibility of inducing ordering by shear, potentially providing a feasible route to the fabrication of ordered lamellar structures from isotropic particles.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑