This paper presents a novel unsupervised deep learning methodology for the analysis of
self-assembled structures formed in evaporating droplets. The proposed approach focuses …

This paper introduces a deep learning based methodology for analyzing the self-assembled,
fractal-like structures formed in evaporated droplets. To this end, an extensive image …

Various types of motion introduced into a solution can affect, among other factors, the
alignment and positioning of molecules, the agglomeration of large molecules, oxidation …

Background Evaporation-induced pattern formation in droplets has been applied to test
effects of high potencies. Here we propose for the first time the droplet evaporation method …

Atomizers find applications in diverse fields such as agriculture, pharmaceutics and
combustion. Among the most commonly found atomizer classes of designs are pressure …

Microdispersion technology is an important part of the flow chemistry method in creating tiny
bubbles or droplets for enhancing mass/heat transfer performance, in which the dispersed …

The aim of the present study was to investigate if patterns obtained from evaporating
droplets of pharmaceutical preparations reveal the impact of succussion on such medicinal …

The quality control of medicines guarantees the effectiveness of treatments for diseases. We
explore the use of texture analysis of patterns in dried droplets as a tool to readily detect …

Predicting drop coalescence based on process parameters is crucial for experimental
design in chemical engineering. However, predictive models can suffer from the lack of …

Red wine colloids, crucial in determining wine quality and stability, are understudied due to
inadequate techniques for studying them effectively in the natural wine environment …