Employing network science to understand particle interactions helps manufacture advanced materials with superior force transmission and heat transfer. However, knowledge of the dependence of networks on particle features such as shape is missing. This study computes particle shape ─ the average of three-dimensional sphericity and roundness, and multiscale network variables ─ degree, edge betweenness centrality and global clustering coefficient from unweighted/weighted contact and thermal networks ─ for three sands based on their X-ray computed tomography images. The dependence of network features on particle shape is explored for both individual particles and bulk sand samples. Results show that particle shape affects the degree in a network at sample and particle scales differently. In contrast, weighted edge betweenness centrality has a consistent inverse relationship with particle shape at both scales. The weighted edge betweenness centrality values from different samples consistently indicate that 20% of network edges (e.g., contacts) are responsible for 60% of the heat transfer in dry sands. Although unweighted edge betweenness centrality cannot reflect the heat transfer directly, it has a similar correlation with particle shape to the weighted feature. Global clustering coefficient from the thermal network increases in round particle packings and can indicate the mechanical rigidity of sands.

利用网络科学来理解粒子相互作用有助于制造具有卓越力传输和热传递的先进材料。然而，网络对粒子特征（如形状）的依赖性的知识缺失。本研究计算粒子形状——三维球形度和圆度的平均值，以及多尺度网络变量——度数、边缘介数中心性和全局聚类系数来自未加权/加权的接触和热网络——基于 X 射线计算机断层扫描图像的三个沙子。研究了单个颗粒和散装砂样品的网络特征对颗粒形状的依赖性。结果表明，粒子形状对样本和粒子尺度上的网络程度的影响不同。相比之下，加权边缘介数中心性在两个尺度上与粒子形状具有一致的反比关系。来自不同样本的加权边缘介数中心性值一致表明，20% 的网络边缘（例如，接触）负责干砂中 60% 的热传递。尽管未加权的边缘介数中心性不能直接反映传热，但它与粒子形状与加权特征具有相似的相关性。