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Acoustics plays a significant role in various aspects of everyday life and finds applications in diverse fields such as medicine, where ultrasound is used to detect anomalies in the human body, noise pollution control, music, and the study of the universe, among others. This article explores the extent of scientific literature on supercomputing for acoustic simulation. The methodology consists of four steps: formulating research questions, conducting a literature search, selecting highly impactful articles, and data compilation. Out of a total of 211 articles obtained from reviewed databases, including Springer, Google Scholar, ScienceDirect, Scientific Reports, ChEES, Journal of Physics, Hindawi, and Research Article, 20 articles were chosen for analysis. It was concluded that the dynamic study of sound is indeed complex, requiring intensive data processing. This necessitates the use of supercomputers with multiple cores to solve various mathematical models, with the fundamental focus of the study being the resolution of the wave equation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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