In this work, we set out to elucidate the light-harvesting properties of various random and ordered photocatalyst supports (PSs) with different macropore sizes. To accomplish this, we propose two studies of increasing relevance, enabled by computed tomography (CT) reconstructions and ray-tracing COMSOL Multiphysics simulations: (a) a 360-degree light release study approximating a PS situated within a compound parabolic concentrator (CPC) or cylindrical LED reactor with open ends; and (b) the same system as before but with closed ends. The ordered geometry is of interest, as it can be 3D printed at scale with a tailored morphology and porosity, and it can potentially be refined using machine learning models to optimize its light-harvesting properties. As will be shown, the local volumetric light absorption (LVLA) data suggests that an ordered PS with a more open pore interior and a smaller pore exterior would begin to approach the more isophotonic light-harvesting properties of random PSs.

在这项工作中，我们着手阐明具有不同大孔径的各种随机和有序光催化剂载体 （PS） 的光捕获特性。为了实现这一目标，我们提出了两项相关性越来越高的研究，通过计算机断层扫描 （CT） 重建和光线追踪 COMSOL Multiphysics 仿真来实现：（a） 360 度光释放研究，近似位于复合抛物面集中器 （CPC） 或具有开口端的圆柱形 LED 反应器内的 PS;（b） 与以前相同的系统，但末端封闭。有序的几何形状很有趣，因为它可以大规模 3D 打印，具有定制的形态和孔隙率，并且有可能使用机器学习模型对其进行优化，以优化其光捕获特性。如将要显示的，局部体积光吸收 （LVLA） 数据表明，具有更开放的孔隙和更小的孔隙外部的有序 PS 将开始接近随机 PS 的更等光子光捕获特性。