13 citations · 21 across the 4 of their papers we have counts for
4 papers
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…
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…
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,…
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.…