An artificial intelligence-based electromagnetic simulation method and its electromagnetic brain

A technology of electromagnetic simulation and artificial intelligence, applied in design optimization/simulation, biological neural network model, neural architecture, etc., to achieve high precision

CN108182316BActive Publication Date: 2021-12-07杭州泛利科技有限公司
5 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-12-07

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an artificial intelligence-based electromagnetic simulation method and its electromagnetic brain. The present invention puts the geometric, physical, and excitation data corresponding to the engineering structure into the full-wave electromagnetic calculation solver to obtain the S parameter information corresponding to the engineering structure, and then forms a training data set and imports it into the convolutional neural network for offline training . Add the new structural electronic device to be analyzed to the data server, no longer need to use the full-wave electromagnetic simulation method with slow calculation speed, but use geometry, physics, and excitation as input, take scattering S-parameter as output, and use trained convolution The neural network analyzes the electromagnetic performance and obtains the corresponding scattering S parameter results. Compared with the existing full-wave electromagnetic simulation software, once the convolutional neural network training is completed, the present invention can obtain the simulation results without relying on the full-wave electromagnetic field solver, so the calculation efficiency is more than a thousand times higher than that of the existing software.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of electromagnetic simulation, and relates to an artificial intelligence-based electromagnetic simulation method and its electromagnetic brain. Background technique

[0002] The third wave of information driven by wireless communication, mobile portable and Internet of Things, etc., wireless and mobile portable communication are its fundamental features, and radio frequency integrated circuits are its most critical core technology. The core basic hardware of modern high-speed wireless communication is radio frequency integrated circuit chips. As the information society enters the era of 5G communication and cloud computing, the market demand for radio frequency integrated circuit chips will continue to grow rapidly in the future, which increases the demand for radio frequency circuit design and simulation software. demand.

[0003] Document 1 (from C.C.Weng, J.J.Li, Overview of Large-Scale Computing: The Pa...

Examples

Embodiment Construction

[0028] The technology will be further described in detail below in conjunction with the accompanying drawings and examples of implementation.

[0029] Such as figure 1 As shown, the artificial intelligence-based electromagnetic simulation system of the present invention includes: an offline training module and an ultra-efficient electromagnetic analysis module.

[0030] The offline training module imports the training data set obtained from the data server into the convolutional neural network for offline training. After training, the optimal set of weights and bias parameters of the neural network is saved to provide the scattering S parameters for predicting the new structure. . The training data set includes geometry, physics, excitation information data and scattering S-parameter data, where the scattering S-parameters are obtained by calculating the full-wave electromagnetic calculation solver through three types of data: geometry, physics, and excitation.

[0031] The ...