Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations

This article reports on research using machine learning to simulate the thermal properties of graphene oxide. The focus is on understanding thermal conductivity, a crucial property for various applications. The use of machine learning molecular dynamics suggests an attempt to improve the accuracy and efficiency of the simulations compared to traditional methods. The source, ArXiv, indicates this is a pre-print or research paper.

• •The research investigates the thermal conductivity of monolayer graphene oxide.
• •Machine learning molecular dynamics simulations are employed.
• •The study aims to improve understanding of thermal properties for potential applications.