Thermal transport coefficient is an important property that often dictates broad applications of a polymeric material, while at the same time its computation remains challenging. In particular, classical simulations overestimate than the experimentally measured and thus hinder their meaningful comparison. This is even when very careful simulations are performed using the most accurate empirical potentials. A key reason for such a discrepancy is because polymers have quantum–mechanical, nuclear degrees–of–freedom whose contribution to the heat balance is non–trivial. In this work, two semi–analytical approaches are considered to accurately compute by using the exact vibrational density of states . The first approach is based within the framework of the minimum thermal conductivity model, while the second uses computed quantum heat capacity to scale . Computed of a set of commodity polymers compares quantitatively with .

生成讲解博客的中文版本

生成AI智能校验的中文版本