微纳器件超原子逆向设计结构数据

微纳器件超原子逆向设计结构数据主要面向三维显示的像素化微纳器件的光场调控器件研究，针对高效率大视角超薄微纳器件光场调控的需求，基于Reticolo软件的严格耦合波电磁计算，利用MATLAB以及Python编程语言平台，采用项目组在PyTorch深度学习框架下研发的光学超表面智能结构逆向设计算法产生，主要记录了设计过程中的得到的结构基本参数以及用于结构性能验证的仿真结果，数据量1.51GB。The structural dataset for meta-atom inverse design of micro-nano devices is primarily intended for research on light-field modulation devices based on pixelated micro-nano devices for 3D displays. To meet the demand for light-field modulation of high-efficiency, wide-angle, and ultra-thin micro-nano devices, this dataset is generated through rigorous coupled-wave electromagnetic calculations using Reticolo software, with the support of MATLAB and Python programming platforms, and by leveraging the optical metasurface intelligent structure inverse design algorithm developed by the project team under the PyTorch deep learning framework. It primarily records the basic structural parameters obtained during the design process and the simulation results used for verifying the structural performance, with a total data volume of 1.51 GB.

搜集汇总

背景与挑战

背景概述

该数据集面向三维显示微纳器件的光场调控研究，通过逆向设计算法生成超原子结构参数和仿真结果，用于支持高效率大视角超薄器件的开发。数据量约为1.51GB，包含多种格式文件，由浙江大学在相关科研项目中创建。