Mesoscopic Wave Physics of Heterogeneous Complex Materials

异质复杂材料的介观波物理

• 批准号: RGPIN-2022-04130
• 负责人: Page, John
• 金额: $ 4.44万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=763062
• 关键词: Mesoscopic; Wave; Physics; Heterogeneous; Complex

Waves in complex media exhibit remarkable properties, many of which result from strong multiple scattering and which continue to challenge our basic understanding of wave physics. This subject underpins many scientific and engineering disciplines that rely on wave-based techniques for imaging and materials characterization. The transport of waves through complex media is also fundamental to our prosperity, as it affects, for example, our ability to image complex structures (e.g., defects in concrete bridges and technological devices) and to effectively prospect for and extract natural resources. The goals of my research program are to build on recent progress in my laboratory to address many important unresolved questions in the wave physics of complex strongly scattering materials, and to develop and use new techniques, based on our knowledge of wave scattering, to probe their wave physics, structure and dynamics. To achieve these objectives, my students, postdoctoral fellows, research associates and I will perform state-of-the-art ultrasonic experiments, using techniques that we have pioneered and that are recognized internationally as some of the most powerful approaches to addressing many key challenges in the field. Our approach has many distinct advantages: the ability to record complete information about wave transport, the excellent resolution in space, time and frequency with which ultrasonic measurements can be performed, the feasibility of studying materials with precisely determined structures, the convenient range of lengths and times involved, and the likelihood of success in interpreting our data using new theoretical models. Examples of intriguing wave phenomena that we will investigate include Anderson localization (the ultimate trapping of waves due to disorder) and the remarkable properties of artificially structured materials (metamaterials and phononic crystals) such as broadband acoustic super-absorbers. We will also develop dynamic imaging methods for complex media (in which traditional imaging techniques fail), leading to new ultrasonic spectroscopies for materials characterization and process control. We will use these techniques to study porous and granular materials, metamaterials with deeply subwavelength structures, and aerated/internally structured model food biomaterials. The universality of wave behaviour across a huge range of wavelengths and wave types implies that the impact of our research is expected to extend well beyond ultrasonics, facilitating advances in other fields of research. My proposed research program will therefore provide an exceptional opportunity for training many (at least 15) highly qualified personnel in valuable research and communication skills (e.g., in advanced experimental techniques, problem solving, data modeling, presentations, paper writing and collaborations) that will be more widely relevant than one might first imagine, leading to excellent career options later on.

复杂介质中的波表现出显著的性质，其中许多是由强烈的多次散射引起的，并继续挑战我们对波动物理的基本理解。这门学科是许多科学和工程学科的基础，这些学科依赖于用于成像和材料表征的基于波的技术。波通过复杂介质的传输也是我们繁荣的基础，因为它影响了我们对复杂结构的成像能力（例如，混凝土桥梁和技术装置的缺陷），并有效地前景和提取自然资源。我的研究计划的目标是建立在我的实验室最近取得的进展，以解决许多重要的未解决的问题，在复杂的强散射材料的波动物理，并开发和使用新技术，基于我们的知识波散射，探测其波动物理，结构和动力学。为了实现这些目标，我的学生，博士后研究员，研究人员和我将使用我们开创的技术进行最先进的超声波实验，这些技术在国际上被公认为解决该领域许多关键挑战的最强大的方法。我们的方法有许多明显的优势：能够记录完整的信息波传输，在空间，时间和频率的超声波测量可以执行的出色的分辨率，研究材料的精确确定的结构的可行性，方便的范围内的长度和时间，并成功地解释我们的数据使用新的理论模型的可能性。我们将研究的有趣的波现象的例子包括安德森局域化（由于无序导致的波的最终捕获）和人工结构材料（超材料和声子晶体）的显着特性，如宽带声学超吸收器。我们还将开发用于复杂介质的动态成像方法（传统成像技术失败），从而为材料表征和过程控制带来新的超声光谱。我们将使用这些技术来研究多孔和颗粒状材料，超材料与深亚波长结构，和充气/内部结构的模型食品生物材料。波行为在波长和波类型的巨大范围内的普遍性意味着我们研究的影响预计将远远超出超声波，促进其他研究领域的进步。因此，我提议的研究计划将为培训许多（至少15名）高素质的人员提供一个难得的机会，这些人员具有宝贵的研究和沟通技能（例如，在先进的实验技术，解决问题，数据建模，演示文稿，论文写作和合作），这将是更广泛的相关性比一个人可能首先想象，导致优秀的职业选择以后。