Search Results - "Aerospace Research Communications"

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  1. 1

    Pontryagin Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost by Schiassi, Enrico, Calabrò, Francesco, De Falco, Davide Elia

    Published in Aerospace research communications (19-11-2024)
    “…This work introduces Pontryagin Neural Networks (PoNNs), a specialised subset of Physics-Informed Neural Networks (PINNs) that aim to learn optimal control…”
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    Journal Article
  2. 2

    A Review of Flow Control Strategies for Supersonic/Hypersonic Fluid Dynamics by Shibo Lee, Yunlong Zhao, Jiaqi Luo, Jianfeng Zou, Jifa Zhang, Jifa Zhang, Yao Zheng, Yao Zheng, Yang Zhang, Yang Zhang

    Published in Aerospace Research Communications (01-11-2024)
    “…Supersonic and hypersonic flows have gained considerable attention in the aerospace industry in recent years. Flow control is crucial for refining the quality…”
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    Journal Article
  3. 3

    MATLAB Implementation of Physics Informed Deep Neural Networks for Forward and Inverse Structural Vibration Problems by Tanmoy Chatterjee, Michael I. Friswell, Sondipon Adhikari, Hamed Haddad Khodaparast

    Published in Aerospace Research Communications (01-08-2024)
    “…In this work, we illustrate the implementation of physics informed neural networks (PINNs) for solving forward and inverse problems in structural vibration…”
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    Journal Article
  4. 4

    Towards the Design of Future Aircraft: A Critical Review On the Tools and Methodologies by Yaolong Liu, Siyu Zhang, Jiechao Zhang, Kexuan Yao, Mingqiang Luo, Yantao Liu

    Published in Aerospace Research Communications (30-05-2024)
    “…This study reviews tools and approaches developed at universities and institutes for conceptual and preliminary aircraft design. Problem, solution, and…”
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    Journal Article