73 citations · 288 across the 10 of their papers we have counts for
10 papers
Interpretable liquid crystal phase classification via two-by-two ordinal patterns
Leonardo G. J. M. Voltarelli, Natalia Osiecka-Drewniak, Marcin Piwowarczyk +4
Liquid crystal textures encode rich structural information, yet mapping these images to mesophase identity remains challenging because visually similar patterns can arise from dist…
Characterizing unstructured data with the nearest neighbor permutation entropy
Leonardo G. J. M. Voltarelli, Arthur A. B. Pessa, Luciano Zunino +4
Permutation entropy and its associated frameworks are remarkable examples of physics-inspired techniques adept at processing complex and extensive datasets. Despite substantial pro…
Determining liquid crystal properties with ordinal networks and machine learning
Arthur A. B. Pessa, Rafael S. Zola, Matjaz Perc +1
Machine learning methods are becoming increasingly important for the development of materials science. In spite of this, the use of image analysis in the development of these syste…
Learning physical properties of liquid crystals with deep convolutional neural networks
Higor Y. D. Sigaki, Ervin K. Lenzi, Rafael S. Zola +2
Machine learning algorithms have been available since the 1990s, but it is much more recently that they have come into use also in the physical sciences. While these algorithms hav…
Estimating physical properties from liquid crystal textures via machine learning and complexity-entropy methods
H. Y. D. Sigaki, R. F. de Souza, R. T. de Souza +2
Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via optical and image processing method…
Nanometric pitch in modulated structures of twist-bend nematic liquid crystals
M. P. Rosseto, R. R. Ribeiro de Almeida, R. S. Zola +3
The extended Frank elastic energy density is used to investigate the existence of a stable periodically modulate structure that appears as a ground state exhibiting a twist-bend mo…
Unwinding of the twist-bend nematic structure under an external field
Rafael Soares Zola, Giovanni Barbero, Ioannis Lelids +2
The recently discovered twist-bend nematic phase, , is a non-uniform equilibrium nematic phase that presents a spontaneous bend with a precession of the nematic directo…
Elastic continuum theory: Fully understanding of the twist-bend nematic phases
Giovanni Barbero, Luiz Roberto Evangelista, Michely Patrícia Rosseto +2
The twist-bend nematic phase, , may be viewed as a heliconical molecular arrangement in which the director precesses uniformly about an extra director field, $\…
Investigating the interplay between mechanisms of anomalous diffusion via fractional Brownian walks on a comb-like structure
H. V. Ribeiro, A. A. Tateishi, L. G. A. Alves +2
The comb model is a simplified description for anomalous diffusion under geometric constraints. It represents particles spreading out in a two-dimensional space where the motions i…
A framework to investigate the immittance responses for finite length-situations: fractional diffusion equation, reaction term, and boundary conditions
Ervin K. Lenzi, Marcelo K. Lenzi, Fernanda R. G. B. Silva +4
The Poisson-Nernst-Planck (PNP) diffusional model for the immittance or impedance spectroscopy response of an electrolytic cell in a finite-length situation is extended to a genera…