Inverse design of multi-band acoustic topology insulator based on deep learning
Source abstract
Abstract
The reverse design method of acoustic structure based on a deep learning algorithm has been developed as an important means of metamaterial design. In this paper, a multi-band acoustic topological insulator is designed, and the improved competitive search algorithm Long Short-Term Memory (LSTM) algorithm model is used to predict its potential optimal parameter combination to assist the on-demand design of the working frequency band of the multi-band acoustic topology insulator. Finally, the numerical simulation model is established using the optimized structural parameters, and the topologically protected boundary state is studied, which verifies the effectiveness of the method. The research results provide a reference for the on-demand design of multi-band antennas, sound absorption, sound insulation, and other acoustic communication functional devices.
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Research context
OpenAlex topics: Acoustic Wave Phenomena Research · Noise Effects and Management · Climate change and permafrost
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education 1 , Zhengzhou 450001, People’s Republic of China
Henan Key Laboratory of Grain Photoelectric Detection and Control, Henan University of Technology 2 , Zhengzhou 450001, People’s Republic of China
College of Information Science and Engineering, Henan University of Technology 3 , Zhengzhou 450001, People’s Republic of China
Funding
the National Natural Science Foundation of China · Innovative Funds Plan of Henan University of Technology · Key Scientific and Technological Project of Science and Technology Department of Henan Province · Key Scientific Research Project of Henan Education Department · Ministry of Education · Cultivation Plan for Young Key Teachers of Higher Education Institutions in Henan Province · High-Level Talent Fund of Henan University of Technology · Special Project for Scientifc Research and Development of Henan Academy of Sciences · Cultivation Programme for Young Backbone Teachers in Henan University of Technology
References (47)
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