pyGDM --纳米结构全场电动力学模拟和进化优化的python工具包
pyGDM -- A python toolkit for full-field electro-dynamical simulations and evolutionary optimization of nanostructures
摘要：
pyGDM是一个python工具包，用于基于Green Dyadic Method（GDM）的纳米光学电动力学模拟。与大多数其他耦合偶极码相比，pyGDM使用广义传播子，可以经济高效地解决大型单色问题，例如使用聚焦光束或量子发射器探针进行偏振分辨计算或光栅扫描模拟。该软件的另一个特点是可以非常容易地解决包括电介质或金属基板在内的3D问题。此外，pyGDM包括容易导出几个物理量的工具，例如远场图案、消光和散射截面、结构附近的电磁近场、量子发射体的衰减速率和LDOS或沉积在纳米颗粒内部的热。最后，pyGDM提供了一个工具包，用于纳米颗粒几何形状的有效进化优化，以最大化（或最小化）光学特性，如在选定的共振波长下的散射。
英文摘要：
pyGDM is a python toolkit for electro-dynamical simulations in nano-optics based on the Green Dyadic Method (GDM). In contrast to most other coupled-dipole codes, pyGDM uses a generalized propagator, which allows to cost-efficiently solve large monochromatic problems such as polarization-resolved calculations or raster-scan simulations with a focused beam or a quantum-emitter probe. A further peculiarity of this software is the possibility to very easily solve 3D problems including a dielectric or metallic substrate. Furthermore, pyGDM includes tools to easily derive several physical quantities such as far-field patterns, extinction and scattering cross-section, the electric and magnetic near-field in the vicinity of the structure, the decay rate of quantum emitters and the LDOS or the heat deposited inside a nanoparticle. Finally, pyGDM provides a toolkit for efficient evolutionary optimization of nanoparticle geometries in order to maximize (or minimize) optical properties such as a scattering at selected resonance wavelengths.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
