Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Advanced 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
Associated Students of the University of Puget Sound Senate Minutes 2008-2009 [PDF]
, 2008 Meeting minutes of the Associated Students of the University of Puget Sound from 09/2008 - 04/2009.
Associated Students of the University of Puget Sound (ASUPS)
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Advanced Intelligent Systems, EarlyView.This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Damping contribution of viscoelastic core on airborne sound insulation performance of finite constrained layer damping panels at low and middle frequencies. [PDF]
Sci Rep, 2023 Wang B, Min H.
europepmc +1 more source
Thermally Drawn Bioelectric Catheters: Enabling Proprioceptive Endovascular Navigation
Advanced Intelligent Systems, EarlyView.This work introduces a novel bioelectric navigation system eliminates the need for harmful fluoroscopy during endovascular surgeries. A bespoke 16‐electrode catheter is fabricated using rapid thermal drawing and laser micro‐machining. Paired with a real‐time tracking algorithm fusing vascular geometry detection and distance estimation, this technology ...
Alex Ranne +8 more
wiley +1 more source
Associated Students of the University of Puget Sound Senate Minutes 1999-2000 [PDF]
, 1999 Meeting minutes of the Associated Students of the University of Puget Sound from 09/1999 - 04/2000.
Associated Students of the University of Puget Sound (ASUPS)
core
Journal of Applied Polymer Science, Volume 142, Issue 16, April 20, 2025.ABSTRACT An extensive experimental analysis was conducted to assess the thermal, acoustic, magnetic, and electrical properties of composite materials reinforced with varying ratios of silicon carbide (SiC) and alumina (Al₂O₃) powders, with a focus on enhancing the functionality of robotic arms.
Merdan Özkahraman +2 more
wiley +1 more source
Study on Sound-Insulation Performance of an Acoustic Metamaterial of Air-Permeable Multiple-Parallel-Connection Folding Chambers by Acoustic Finite Element Simulation. [PDF]
Materials (Basel), 2023 Peng W +5 more
europepmc +1 more source
Associated Students of the University of Puget Sound Senate Minutes 1989-1990 [PDF]
, 1989 Meeting minutes of the Associated Students of the University of Puget Sound from 08/1989 - 05/1990.
Associated Students of the University of Puget Sound,
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Advanced Physics Research, EarlyView.This study explores the compounds MPSi3 [M = Al, Ga, In] and introduces InPSi3 as a promising material for solar cell applications. Findings reveal stability, excellent band gaps, and strong optical absorption, suggesting that these materials are ideal candidates for advancing energy‐harvesting technologies. ABSTRACT In this study, a new semiconducting
S. K. Datta +4 more
wiley +1 more source