MATLAB模拟粒子散射代码-ScatterNet:使用人工神经网络进行的纳米光子粒子模拟和逆向设计中提出的所有工作的代码

上传者: 38743235 | 上传时间: 2021-09-22 14:33:56 | 文件大小: 50KB | 文件类型: ZIP
MATLAB模拟粒子散射代码 Scatter Net '.\|/.' (\ /) - -O- - (/ \) ,'/|\'. 散布网 使用机器学习解决物理问题的示例存储库。 基于“使用人工神经网络的纳米光子粒子模拟和逆设计”()中介绍的工作。 该存储库是专门为解决逆设计问题而设计的,尤其是周围的光子学和光学器件。 入门指南 这些说明将为您提供在本地计算机上运行并运行的项目的副本,以进行开发和测试。 此示例还将在论文中生成表I,以及图2、3和4。 先决条件 要运行Matlab代码,将需要安装Matlab。 对于此代码,我们使用了Matlab R2017a。 请注意,可以在没有Matlab的情况下完成项目,但是除非安装了Matlab,否则无法进行速度和数据生成的比较。 该代码库基于Python 2.7,并且所使用的pip包显示在requirements.txt文件中。 要在AWS上运行此程序,请使用AMI ami-52bb0c32和一个p2.xlarge实例。 正在安装 将github仓库复制到您的计算机上,并安装pip要求。 git clone https://github.com/ig

文件下载

资源详情

[{"title":"( 45 个子文件 50KB ) MATLAB模拟粒子散射代码-ScatterNet:使用人工神经网络进行的纳米光子粒子模拟和逆向设计中提出的所有工作的代码","children":[{"title":"ScatterNet-master","children":[{"title":"demo_designSpect.sh <span style='color:#111;'> 447B </span>","children":null,"spread":false},{"title":"scatter_sim_3_plot_results.m <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"results","children":[{"title":"Readme.md <span style='color:#111;'> 616B </span>","children":null,"spread":false},{"title":"fetchResults.sh <span style='color:#111;'> 203B </span>","children":null,"spread":false},{"title":"5_layer_tio2","children":[{"title":"spec_file_0.txt <span style='color:#111;'> 119B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"spherical_T_matrix","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"spherical_TM2.m <span style='color:#111;'> 239B </span>","children":null,"spread":false},{"title":"bessel","children":[{"title":"bessely_d.m <span style='color:#111;'> 67B </span>","children":null,"spread":false},{"title":"sbessely.m <span style='color:#111;'> 58B </span>","children":null,"spread":false},{"title":"besselj_d.m <span style='color:#111;'> 67B </span>","children":null,"spread":false},{"title":"sbesselj.m <span style='color:#111;'> 60B </span>","children":null,"spread":false},{"title":"junk.m <span style='color:#111;'> 423B </span>","children":null,"spread":false},{"title":"sbessely_d.m <span style='color:#111;'> 84B </span>","children":null,"spread":false},{"title":"sbesselj_d.m <span style='color:#111;'> 84B </span>","children":null,"spread":false}],"spread":true},{"title":"product.m <span style='color:#111;'> 357B </span>","children":null,"spread":false},{"title":"total_cs.m <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"product.prj <span style='color:#111;'> 39.29KB </span>","children":null,"spread":false},{"title":"data.mat <span style='color:#111;'> 11.74KB </span>","children":null,"spread":false},{"title":"spherical_TM1.m <span style='color:#111;'> 525B </span>","children":null,"spread":false},{"title":"spherical_cs.m <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false}],"spread":true},{"title":"scatter_sim_0_jagg.m <span style='color:#111;'> 771B </span>","children":null,"spread":false},{"title":"demo_compareSpect.sh <span style='color:#111;'> 763B </span>","children":null,"spread":false},{"title":"demo_matchSpect.sh <span style='color:#111;'> 466B </span>","children":null,"spread":false},{"title":"scatter_net_core.py <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false},{"title":"demo_genData.sh <span style='color:#111;'> 56B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 4.94KB </span>","children":null,"spread":false},{"title":"scatter_sim_2_gen_single_data.m <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"scatter_sim_4_design_Spect.m <span style='color:#111;'> 6.58KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"scatter_net.py <span style='color:#111;'> 17.90KB </span>","children":null,"spread":false},{"title":"scatter_sim_1_plot_data.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"gen_figures.m <span style='color:#111;'> 3.15KB </span>","children":null,"spread":false},{"title":"NN.m <span style='color:#111;'> 1.65KB </span>","children":null,"spread":false},{"title":"scatter_sim_2_gen_data.m <span style='color:#111;'> 944B </span>","children":null,"spread":false},{"title":"estimateOrderEffects.m <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"Readme.md <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"test_gen_spect.csv <span style='color:#111;'> 401B </span>","children":null,"spread":false},{"title":"fetchData.sh <span style='color:#111;'> 194B </span>","children":null,"spread":false}],"spread":false},{"title":"scatter_sim_4_compare_NN.m <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"plotSpects.py <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"plotLoss.py <span style='color:#111;'> 3.41KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 34B </span>","children":null,"spread":false},{"title":"demo.sh <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false},{"title":"readme.md <span style='color:#111;'> 4.39KB </span>","children":null,"spread":false},{"title":"scatter_sim_0_gen_single_spect.m <span style='color:#111;'> 2.07KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明