Shear Viscosity

Shear viscosity, a measure of a fluid's resistance to flow, is crucial across diverse scientific fields, from planetary science to materials engineering. Current research focuses on developing accurate and efficient predictive models for viscosity, employing machine learning techniques such as artificial neural networks and Gaussian process regression, often trained on large datasets of experimental or simulation data. These advancements are improving our ability to simulate complex fluid dynamics, enabling more precise modeling of geological processes, industrial fluid handling, and even the behavior of extraterrestrial magma oceans. The development of robust methods for handling small datasets and quantifying prediction uncertainty is also a key area of ongoing investigation.