Physics-Informed Machine Learning for Modeling and Design Optimization

Articles

ORIGINAL RESEARCH

Accepted on 16 Mar 2026

Deep Learning-Based Channel Estimation for Satellite OTFS Systems in High-Mobility Scenarios

Jie Shen

ORIGINAL RESEARCH

Published on 18 Sep 2025

Spatial-Temporal, Parallel, Physics-Informed Neural Networks for Solving Forward and Inverse PDE Problems via Overlapping Domain Decomposition

Hongwei Ye
Chuanfu Xu
Yuanye Zhou
Xuhui Meng

doi 10.3389/arc.2025.14842

1 citation

ORIGINAL RESEARCH

Published on 26 Feb 2025

Prediction of Aerothermal Heating: From Numerical Simulations to Machine Learning Models

Yuchao Wang
Yunzhe Huang
Hongjie Zhou
Yan Wang
Tingwei Ji
Fangfang Xie

doi 10.3389/arc.2025.14274

2 citations

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

Mengxin Liu
Yunjia Yang
Chenyu Wu
Yufei Zhang

doi 10.3389/arc.2024.13901

3 citations

ORIGINAL RESEARCH

Published on 19 Nov 2024

Pontryagin Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost

Enrico Schiassi
Francesco Calabrò
Davide Elia De Falco

doi 10.3389/arc.2024.13151

2 citations

ORIGINAL RESEARCH

Published on 13 Aug 2024

MATLAB Implementation of Physics Informed Deep Neural Networks for Forward and Inverse Structural Vibration Problems

Tanmoy Chatterjee
Michael I. Friswell
Sondipon Adhikari
Hamed Haddad Khodaparast

doi 10.3389/arc.2024.13194

8 citations

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Aerospace Research Communications

Aerospace Research Communications