.png){kind=icon}
返回
Deep learning-enhanced, open-source eigenmode expansion
.png){kind=icon}
OA
AI
DOI：10.1364/OL.443664.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present an open-source eigenmode expansion (EME) software package entirely implemented in the Python programming language. Eigenmode expansion Python (EMEPy) utilizes artificial neural networks to reproduce electromagnetic eigenmode field profiles to accelerate the EME process by a factor of 3. EMEPy provides an intuitive scripting interface, is easily compatible with a number of other Python packages, and is useful for educators and new designers. (C) 2022 Optica Publishing Group
Keyword:
WAVE-GUIDES
期刊
IF:
3.3
论文数:
4.0W
被引数:
7.6W
机构
引用论文
分享收藏Rapid Simulation of Scattering Parameters for Coupled Waveguides With Arbitrary Geometries任意几何形状耦合波导散射参数的快速模拟
PREAI
分享收藏
Multicriteria Fuzzy Methodology for Feasibility Study of Transport Projects多准则模糊方法在运输项目可行性研究中的应用
PREAI
分享收藏Designing integrated photonic devices using artificial neural networks使用人工神经网络设计集成光子器件.png)
OPTICS EXPRESSOAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Ultra-compac hybrid plasmonic mode convertor based on unidirectional eigenmode expansionOPTICS LETTERS
OPTICS LETTERSIF3.3
PREAI
分享收藏Determination of the intrinsic site pKa value and cooperativity of the symmetrical hexadentate chelator N,N′,N″-tris[2-(3-hydroxy-2-oxo-1,2-dihydropyridin-1-yl)acetamido]ethylamineTalanta
TalantaIF0
PREAI
分享收藏
查看更多内容