activity
20142024
most citedIdeal Mixing of Paraelectric and Ferroelectric Nematic Phases in Liquid Crystals of Distinct Molecular Species

59 citations · 161 across the 10 of their papers we have counts for

collaborators

10 papers

cond-mat.soft2024

Freely Suspended Nematic and Smectic Films and Free-Standing Smectic Filaments in the Ferroelectric Nematic Realm

Keith G. Hedlund, Vikina Martinez, Xi Chen +4

We show that stable, freely suspended liquid crystal films can be made from the ferroelectric nematic () phase and from the recently discovered polar, lamellar $\math…

cond-mat.soft2022★ 8 cited

Topological defect coarsening in quenched smectic-C films analyzed using artificial neural networks

Ravin A. Chowdhury, Adam A. S. Green, Cheol S. Park +2

Mechanically quenching a thin film of smectic-C liquid crystal results in the formation of a dense array of thousands of topological defects in the director field. The subsequent r…

cond-mat.soft2021★ 59 cited

Ideal Mixing of Paraelectric and Ferroelectric Nematic Phases in Liquid Crystals of Distinct Molecular Species

Xi Chen, Zhecong Zhu, Mitchell J. Magrini +6

The organic mesogens RM734 and DIO are members of separate molecular families featuring distinct molecular structures. These families, at the present time, are the only ones known…

cond-mat.soft2021★ 13 cited

Detection of Islands and Droplets on Smectic Films Using Machine Learning

Eric Hedlund, Keith Hedlund, Adam Green +4

Machine learning techniques have been developed to identify inclusions on the surface of freely suspended smectic liquid crystal films imaged by reflected light microscopy. The exp…

cond-mat.soft2020★ 17 cited

Coalescence of Islands in Freely-Suspended Smectic Films

Z. H. Nguyen, K. Harth, A. M. Goldfain +4

Smectic liquid crystal films a few molecular layers thick that are freely suspended in air are used as a model system to study the coalescence of fluids in two dimensions. High-spe…

cond-mat.soft2019

End-to-End Machine Learning for Experimental Physics: Using Simulated Data to Train a Neural Network for Object Detection in Video Microscopy

Eric N. Minor, Stian D. Howard, Adam A. S. Green +2

We demonstrate a method for training a convolutional neural network with simulated images for usage on real-world experimental data. Modern machine learning methods require large,…

cond-mat.soft2018

Experimental Studies of Two-dimensional Laminar Jet Flows in Freely Suspended Liquid Crystal Films

Kyle R. Ferguson, Evan Dutch, Zhiyuan Qi +7

Two dimensional (2D) laminar jet-----a stream of fluid that projected into a surrounding medium with the flow confined in 2D-----has both theoretical and experimental significance.…

cond-mat.soft2017★ 23 cited

Realization of hydrodynamic experiments on quasi-2D liquid crystal films in microgravity

Noel A. Clark, Alexey Eremin, Matthew A. Glaser +9

Freely suspended films of smectic liquid crystals are unique examples of quasi two-dimensional fluids. Mechanically stable and with quantized thickness of the order of only a few m…

physics.flu-dyn2015★ 16 cited

Experimental Realization of an Incompressible Newtonian Fluid in Two Dimensions

Zhiyuan Qi, Cheol Soo Park, Matthew A. Glaser +2

The Brownian diffusion of micron-scale inclusions in freely suspended smectic A liquid crystal films a few nanometers thick and several millimeters in diameter depends strongly on…

cond-mat.soft2014★ 25 cited

Mutual diffusion of inclusions in freely-suspended smectic liquid crystal films

Zhiyuan Qi, Zoom Hoang Nguyen, Cheol Soo Park +5

We study experimentally and theoretically the hydrodynamic interaction of pairs of circular inclusions in two-dimensional, fluid smectic membranes suspended in air. By analyzing th…