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Pinchao Meng

As seen in: MDPI, Optica
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Articles

Enhancing information transmission in FSO-OAM systems through multiscale interpretable neural networks under turbulent conditions

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By Shijie Wang, Jiabao Zhuang, Pinchao Meng, Changchun Normal
| Optica Verified
The paper proposes a solution to improve the information transmission efficiency of FSO-OAM systems under turbulent conditions by combining a multiscale interpretable neural network model, 4RK-MSNN. We use a multiscale structure to design the overall architecture of the neural network, which enables the comprehensive analysis of information in different dimensions.
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Dual-Driven Solver for Reconstructing the Point Sources of Elastic Wave Based on Far-Field Data

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By Pinchao Meng, Weishi Yin, Yuanyuan Chai
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Pinchao Meng 1,2,*, Yuanyuan Chai 1 and Weishi Yin 1,2 1 School of Mathematics and Statistics, Changchun University of Science and Technology, Changchun 130022, China 2 Experiment Centre of Mathematics, Changchun University of Science and Technology, Changchun 130022, China * Author to whom correspondence should be addressed.
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Solving Inverse Scattering Problem with a Crack in Inhomogeneous Medium Based on a Convolutional Neural Network

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By Pinchao Meng, Weishi Yin, Ziyuan Yang
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Weishi Yin 1,2,*, Ziyuan Yang 1 and Pinchao Meng 1,2 1 School of Mathematics and Statistics, Changchun University of Science and Technology, Changchun 130022, China 2 Experiment Centre of Mathematics, Changchun University of Science and Technology, Changchun 130022, China * Author to whom correspondence should be addressed.
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