
Data-driven discovery of self-similarity using neural networks
Feb 3, 2025 · Traditional methods for identifying self-similarity often rely on specific models, which can introduce significant bias. In this paper, we present a neural network-based approach that …
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Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court...
Architected acoustic metamaterials: An integrated design …
Mar 27, 2025 · The review focuses on architected acoustic metamaterials to manipulate airborne sound waves, with only limited discussions on elastic metamaterials related to s
Research progress and development trend of smart metamaterials
Nov 22, 2022 · In this paper, focusing on the representative key technologies, we review the development history, main research directions and latest applications of smart metamaterials. …
Best Physics Journals Ranking | Research.com
The position in the ranking is based on a unique bibliometric score created by Research.com which is computed using the estimated h-index and the number of leading scientists who have …
Physics | An Open Access Journal from MDPI
Analysis of nonlinear plasma waves, formulated and applied for ionospheric HF heating experiments, indicates that Langmuir/upper hybrid waves excited by parametric instabilities …
arXiv.org e-Print archive
arXiv is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, …
Acoustics - Recent articles and discoveries | SpringerLink
3 days ago · Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field. Find the latest research papers and news in Acoustics. Read stories …
The Journal of the Acoustical Society of America | AIP Publishing
Assessing blending of instruments is important in music performance and perception research, but remains underexplored due to its complex multi-dimensional nature.
Neural Networks in Identifying Self-Similarity in Physics
Jul 23, 2025 · Traditional methods for identifying self-similarity often rely on specific models, which can introduce significant bias. In this paper, we present a novel neural network-based …