Frequency-domain physics-informed neural network for accurate reconstruction of 3D acoustic fields under sparse and multi-frequency measurements.
- DOI
- 10.1016/j.neunet.2025.108476
- Published
- 2026 May
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.108476,
title = {Frequency-domain physics-informed neural network for accurate reconstruction of 3D acoustic fields under sparse and multi-frequency measurements.},
author = {Chen F and Xiao Y and Yu L and Jiang L},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2025.108476},
url = {https://doi.org/10.1016/j.neunet.2025.108476}
}RIS
TY - JOUR TI - Frequency-domain physics-informed neural network for accurate reconstruction of 3D acoustic fields under sparse and multi-frequency measurements. AU - Chen F AU - Xiao Y AU - Yu L AU - Jiang L PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2025.108476 UR - https://doi.org/10.1016/j.neunet.2025.108476 ER -
APA
F, C., Y, X., L, Y., & L, J. (2026). Frequency-domain physics-informed neural network for accurate reconstruction of 3D acoustic fields under sparse and multi-frequency measurements.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.108476
Source records
- pubmed · retrieved 2026-09-27T12:26:52.692Z