Physics-Informed Eigen-Solution Neural Network, Dataset for benchmark

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Authors: Jiapeng Xu
Cited by: 0

Abstract

This dataset contains spatially resolved eigen-mode displacement fields of multimodal MEMS ultrasonic array elements used for training and validation of physics-informed eigen-solution neural networks. The mode shape fields are provided in normalized form and are sufficient to reproduce the physics-informed training procedure and results reported in the associated publication.

Fields of Study & Subjects

Model Reduction and Neural Networks Ultrasonics and Acoustic Wave Propagation Neural Networks and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026
Document type
Dataset