Results 121 to 130 of about 45,283 (307)

Design of phononic crystal for enhancing low-frequency sound absorption in mufflers

open access: yesScientific Reports
To enhance the low-frequency sound absorption capabilities of expansion chamber mufflers, a novel Helmholtz-ring phononic crystal cell was developed. This innovative design integrates ring Helmholtz resonators as the phononic crystal scatterer, which is ...
Yang Bai, Yuehua Chen, Jiahui Zheng
doaj   +1 more source

Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

On low frequency sound transmission loss of double sidebranches : a comparison between theory and experiment

open access: yes, 2003
The sound power transmission losses of various sidebranches installed along a rectangular duct below the first cut-off frequency of the duct are studied experimentally. Special efforts are made to examine how accurately the plane-wave theory predicts the
S. K. Tang   +3 more
core   +1 more source

Broadband low-frequency diffuse sound transmission loss of multilayer composite plate-type metamaterials

open access: yesComposites Part C: Open Access
Low-frequency sound insulation is one of the most challenging problems in the field of noise control engineering because of the classical mass law. Recent studies have shown that acoustic metamaterials can achieve a sound transmission loss (STL) higher ...
Boxin Chang   +4 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

A modified honeycomb panel to increase sound transmission loss

open access: yes, 2003
Honeycomb panels are widely used in aviation industry because of the properties of lightweight and high bending stiffness. However, the sound transmission loss of the panel is often low since the coincident frequency of the panel usually lies below 2 kHz.
Feng, Leping,
core  

Feasibility study of silica aerogel nanocomposites application to enhance acoustic properties

open access: yesسلامت و محیط, 2020
Background and Objective: Noise pollution is one of the serious environmental issue. Sound control technologies based on sound absorption and sound insulation are considered as the two widely used methods.
Mansoureh Hamidi   +4 more
doaj  

Sound Transmission Loss of a Sandwich Plate with Adjustable Core Layer Thickness. [PDF]

open access: yesMaterials (Basel), 2020
Ehrig T   +5 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

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