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

J. Pȩkalski, W. Rzadkowski, A.Z. Panagiotopoulos, The Journal of Chemical Physics 152 (2020) 204905.


Journal Article | Published | English
Author
Pȩkalski, J.; Rzadkowski, WojciechIST Austria ; Panagiotopoulos, A. Z.
Department
Abstract
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.
Publishing Year
Date Published
2020-05-29
Journal Title
The Journal of chemical physics
Volume
152
Issue
20
Article Number
204905
eISSN
IST-REx-ID

Cite this

Pȩkalski J, Rzadkowski W, Panagiotopoulos AZ. Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of chemical physics. 2020;152(20):204905. doi:10.1063/5.0005194
Pȩkalski, J., Rzadkowski, W., & Panagiotopoulos, A. Z. (2020). Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of Chemical Physics, 152(20), 204905. https://doi.org/10.1063/5.0005194
Pȩkalski, J., Wojciech Rzadkowski, and A. Z. Panagiotopoulos. “Shear-Induced Ordering in Systems with Competing Interactions: A Machine Learning Study.” The Journal of Chemical Physics 152, no. 20 (2020): 204905. https://doi.org/10.1063/5.0005194.
J. Pȩkalski, W. Rzadkowski, and A. Z. Panagiotopoulos, “Shear-induced ordering in systems with competing interactions: A machine learning study,” The Journal of chemical physics, vol. 152, no. 20, p. 204905, 2020.
Pȩkalski J, Rzadkowski W, Panagiotopoulos AZ. 2020. Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of chemical physics. 152(20), 204905.
Pȩkalski, J., et al. “Shear-Induced Ordering in Systems with Competing Interactions: A Machine Learning Study.” The Journal of Chemical Physics, vol. 152, no. 20, AIP, 2020, p. 204905, doi:10.1063/5.0005194.
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