Yuexiwei Li

Machine learning models for predicting thermal conductivity of nano‑enhanced phase-change materials

The low thermal conductivities of phase-change materials (PCMs) remain a major obstacle to their efficient application in thermal energy storage. Nano‑enhanced phase-change materials (NEPCMs) present a promising alternative; therefore, accurate prediction of their thermal conductivities is of great importance. In t...