Hybrid framework provides high-resolution reconstruction of hypersonic wall-pressure signals

Adam Liebendorfer

doi:10.1063/10.0044190

June 12, 2026Scilight

Hybrid framework provides high-resolution reconstruction of hypersonic wall-pressure signals

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Key Points

The research aims to improve the reconstruction of wall-pressure signals in hypersonic environments using advanced modeling techniques.
Developed a hybrid framework combining cubic-spline interpolation with AI transformer models.
Implemented the framework in scenarios with sparse sensor data to evaluate its effectiveness.
Conducted simulations to compare the accuracy of reconstructed signals.
Achieved significantly enhanced resolution of wall-pressure signals compared to traditional methods.
Demonstrated improved accuracy in signal reconstruction with sparse sensor configurations.
Provided evidence that the hybrid approach can effectively refine existing models.

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Implication

Hybrid framework enhances wall-pressure signal reconstruction using cubic-spline interpolation and AI transformer, suggesting improved accuracy in sparse sensor environments.

Abstract

Combination of cubic-spline interpolation and AI transformer refines models when sensors are sparse

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Adam Liebendorfer (2026) studied this question.

synapsesocial.com/papers/6a2e4704b1cc60ccdea8b9ce https://doi.org/10.1063/10.0044190

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Hybrid framework provides high-resolution reconstruction of hypersonic wall-pressure signals

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Hybrid framework provides high-resolution reconstruction of hypersonic wall-pressure signals

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

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