Liquid crystals (LCs), as stimuli-responsive soft materials with optical anisotropy, have
shown great potential in the development of LC-based photonic devices. In recent years, the …

Recent advancements in artificial intelligence (AI) have significantly influenced scientific
discovery and analysis, including liquid crystals. This paper reviews the use of AI in …

Experimental polarising microscopy texture images of the fluid smectic phases and sub-
phases of the classic liquid crystal MHPOBC were classified as paraelectric (SmA*) …

Developing an advanced analytical method to detect spermine (Spm) and N-
acetylneuraminic acid (NANA), the biomarkers of breast and ovarian cancers, respectively …

To understand the impact of chalcone unit, lateral hydroxy group and different alkoxy chain
length on the overall mesomorphic properties, new symmetric/unsymmetrical salicylaldimine …

Different convolutional neural network (CNN) and inception network architectures were
trained for the classification of isotropic, nematic, cholesteric and smectic liquid crystal phase …

Gas sensors integrated with machine learning algorithms have aroused keen interest in
pattern recognition, which ameliorates the drawback of poor selectivity on a sensor. Among …

The identification of gas mixture speciation from a complex multicomponent absorption
spectrum is a problem in gas sensing that can be addressed using machine-learning …

Reactions at interfaces between fluid phases are widely used to synthesize small molecules,
polymers, and nanoparticles. In situ monitoring of the underlying dynamic reaction pathways …

We explore the use of tools from Riemannian geometry for the analysis of symmetric positive
definite matrices (SPD). An SPD matrix is a versatile data representation that is commonly …