Jaka Zaplotnik
YOU?
Author Swipe
View article: Whispering gallery mode study of phase transition and shape change in liquid crystal droplets
Whispering gallery mode study of phase transition and shape change in liquid crystal droplets Open
Whispering gallery mode spectroscopy was used to detect interfacial phenomena and temperature change in liquid crystal droplets with high resolution. The experiments were modeled with numerical analysis and good qualitative agreement was f…
View article: Photonic Eigenmodes of 2D Cylindrical Cholesteric Liquid Crystal Resonators
Photonic Eigenmodes of 2D Cylindrical Cholesteric Liquid Crystal Resonators Open
Cholesteric liquid crystals (CLCs) are birefringent materials with a helical molecular orientation that enables the selective reflection of circularly polarized light, making them valuable for various optical applications. While extensivel…
View article: Photonic defect modes in cholesteric liquid crystal resonators with embedded isotropic layers
Photonic defect modes in cholesteric liquid crystal resonators with embedded isotropic layers Open
Photonic defect modes are explored as a viable alternative to standard photonic band edge modes in photonic crystal applications, especially due to their typically high Q -factors and local density of states. For example, they can be used …
View article: Direct laser-written waveguides for integrated liquid crystal micro-photonics
Direct laser-written waveguides for integrated liquid crystal micro-photonics Open
We demonstrate that Direct Laser Writing (DLW) can be used to print low loss planar polymer waveguides on glass, thus promising a novel soft matter platform for polymer all-optic micro-photonics. We printed straight waveguides with various…
View article: Photonic eigenmodes and transmittance of finite-length 1D cholesteric liquid crystal resonators
Photonic eigenmodes and transmittance of finite-length 1D cholesteric liquid crystal resonators Open
Cholesteric liquid crystals exhibit a periodic helical structure that partially reflects light with wavelengths comparable to the period of the structure, thus performing as a one-dimensional photonic crystal. Here, we demonstrate a combin…
View article: Photonic band edge and defect modes in 1D cholesteric liquid crystals
Photonic band edge and defect modes in 1D cholesteric liquid crystals Open
Liquid crystals are transparent optically birefringent materials that have the ability to self-assemble into tunable photonic microstructures. They can be modified by adding chiral dopants, by anchoring on confining surfaces, temperature c…
View article: Neural networks determination of material elastic constants and structures in nematic complex fluids
Neural networks determination of material elastic constants and structures in nematic complex fluids Open
Supervised machine learning and artificial neural network approaches can allow for the determination of selected material parameters or structures from a measurable signal without knowing the exact mathematical relationship between them. H…
View article: Training data for neural network-based determination of nematic elastic constants
Training data for neural network-based determination of nematic elastic constants Open
Neural network training data packets (each consisting of 1000 training pairs) used for machine learning-based method for determination of Frank elastic constants of nematic liquid crystals (intensities_{i}.csv, K1K3_{i}.csv), experimental …
View article: Training data for neural network-based determination of nematic elastic constants
Training data for neural network-based determination of nematic elastic constants Open
Neural network training data packets (each consisting of 1000 training pairs) used for machine learning-based method for determination of Frank elastic constants of nematic liquid crystals (intensities_{i}.csv, K1K3_{i}.csv), experimental …
View article: Training data for neural network-based determination of nematic elastic constants
Training data for neural network-based determination of nematic elastic constants Open
Neural network training data packets (intensities_{i}.csv, K1K3_{i}.csv), each consisting of 1000 training data pairs, used in a machine learning-based method for determination of Frank elastic constants of nematic liquid crystals, experim…
View article: Training data for neural network-based determination of nematic elastic constants
Training data for neural network-based determination of nematic elastic constants Open
Neural network training data packets (intensities_{i}.csv, K1K3_{i}.csv), each consisting of 1000 training data pairs, used in a machine learning-based method for determination of Frank elastic constants of nematic liquid crystals, experim…
View article: Training data for neural network-based determination of nematic elastic constants
Training data for neural network-based determination of nematic elastic constants Open
Neural network training data packets (each consisting of 1000 training pairs) used for machine learning-based method for determination of Frank elastic constants of nematic liquid crystals (intensities_{i}.csv, K1K3_{i}.csv), experimental …