System and method for feedback-based colloid phase change control

Abstract

A feedback system that identifies characteristics of a colloid and utilizes the characteristics to initiate and adjust a field applied to the colloid is provided. In one embodiment, the system leverages machine learning to automatically identify a condition of the colloid and adjust the supercooling parameters. Sensors are utilized during supercooling to monitor a condition of the colloid being supercooled. Specifically, characteristics of the colloid are measured at different points, areas, or volumes on the colloid and the measurements are used to determine whether supercooling is being achieved or whether the colloid is starting to freeze or undergoing another undesirable phase change. Based on the measurements, parameters of the field can be adjusted to ensure supercooling of the colloid without freezing or causing another undesirable phase change. When phase change is desired, rate of phase change can be controlled to achieve desired characteristics of the colloid.

Dependencies are inferred from the claim text.