ORIGINAL RESEARCH
Accepted on 09 Jul 2025
Spatial-temporal parallel physics-informed neural networks for solving forward and inverse PDE problems via overlapping domain decomposition
doi 10.3389/arc.2025.14842
- Aerospace Research Communications
- Special Issues
- Physics-Informed Machine Learning for Modeling and Design Optimization
Physics-Informed Machine Learning for Modeling and Design Optimization
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Articles
ORIGINAL RESEARCH
Published on 26 Feb 2025
Prediction of Aerothermal Heating: From Numerical Simulations to Machine Learning Models
doi 10.3389/arc.2025.14274
ORIGINAL RESEARCH
Published on 20 Dec 2024
A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints
doi 10.3389/arc.2024.13901
ORIGINAL RESEARCH
Published on 19 Nov 2024
Pontryagin Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost
doi 10.3389/arc.2024.13151
ORIGINAL RESEARCH
Published on 13 Aug 2024
MATLAB Implementation of Physics Informed Deep Neural Networks for Forward and Inverse Structural Vibration Problems
doi 10.3389/arc.2024.13194
- 1 citation
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