Prediction of sound absorption in TPMS-based acoustic metamaterials using convolutional neural networks and machine-learning-based feature importance analysis

Noise pollution has become a major concern recently, and acoustic metamaterials have shown great potential to mitigate it. Among different acoustic metamaterials, sheet/shell lattices based on triply periodic minimal surfaces (TPMS) are a promising class known for their sound-absorbing properties. H...

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主要な著者:	Vignesh Sekar, Lavanya Govindarajan, Kamal K. Sirivuri, Wesley J. Cantwell, Kin Liao, Nicolas Ravaud, Benoit Berton, Pierre-Marie Jacquart, Rashid K. Abu Al-Rub
フォーマット:	Artigo
言語:	Inglês
出版事項:	SAGE Publishing 2026-06-01
シリーズ:	Journal of Low Frequency Noise, Vibration and Active Control
オンライン･アクセス:	https://doi.org/10.1177/14613484251412011
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