通过全息学调制的声强度来精确确定声场
Hao Quan1, Wei Zhou2, Xinjia Li1
1College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110016, China; State Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China.
本研究介绍了一种人工智能增强的声学全息 (AIAS) 方法,用于精确控制声音场. AIAS能够创建复杂的声学模式,包括不对称的多焦领域,推进应用,如聚焦超声疗法.
科学领域:
- 声学 声学 在声学方面
- 人工智能的人工智能
- 波浪物理 波浪物理
背景情况:
- 声学全息图精确地控制声音场,用于诸如声学操纵等应用.
- 控制特定强度比的多焦声场仍然是一个挑战.
研究的目的:
- 开发一种使用人工智能增强全息技术精确调制声场的新方法.
- 为了实现可控制强度比的多焦声场的构建.
主要方法:
- 提出了一种基于物理信息的基于人工智能的角光谱方法 (AIAS).
- 将角光谱传播的物理模型集成到神经网络训练中.
- 在反向设计中使用了目标面积加权平均平方误差损失函数.
主要成果:
- AIAS重建了声场,提高了压力度和均性 (262 ± 15 kPa 到 276.4 ± 5.6 kPa).
- 成功构建了非对称的声场,焦点之间的强度比为2:1.
- 具有卓越的振幅调制能力,可精确控制声场.
结论:
- 在控制声场分布方面,AIAS提供了显著的进步.
- 该方法提供了适合粒子组装的稳定声场.
- 艾亚斯具有精确和个性化的超声波治疗的潜力.
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