Physics-Informed Machine Learning for Modeling and Design Optimization

Articles

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

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

Mengxin Liu
Yunjia Yang
Chenyu Wu
Yufei Zhang

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

Enrico Schiassi
Francesco Calabrò
Davide Elia De Falco

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

Tanmoy Chatterjee
Michael I. Friswell
Sondipon Adhikari
Hamed Haddad Khodaparast

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

doi 10.3389/arc.2024.13194

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Aerospace Research Communications

Aerospace Research Communications

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