Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network
Scientific machine learning (SciML) offers an emerging alternative to the traditional modeling approaches for wave propagation. These physics-based models rely on computationally demanding numerical techniques. However, SciML extends artificial neural network-based wave models with the capability of...
Saved in:
Main Authors: | Nafisa Mehtaj, Sourav Banerjee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/12/3588 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ocean Emulation With Fourier Neural Operators: Double Gyre
by: Suyash Bire, et al.
Published: (2025-07-01) -
Neural operators for hydrodynamic modeling of underground gas storage facilities
by: D. D. Sirota, et al.
Published: (2024-12-01) -
A Neural Operator Unifying Graph Neural Networks and Point Transformers
by: Junseung Ryu, et al.
Published: (2025-01-01) -
ARTIFICIAL NEURAL NETWORK FAULT MODEL STUDY
by: Vladimir A. Fatkhi, et al.
Published: (2012-07-01) -
Diagnostic of Osteoporosis Using Backpropagation Neural Networks
by: Falah A. Bida, et al.
Published: (2025-06-01)