课题基金 / 基金详情

Multi-scale computational nanophotonics

Multi-scale computational nanophotonics
多尺度计算纳米光子学
批准号:
RGPIN-2021-02987
负责人:
Chau, Kenneth
金额:
$2.04万
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
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

项目摘要

项目成果

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中文摘要
翻译
纳米光子学——研究光在纳米尺度上的相互作用,以及开发利用纳米结构控制光流的技术——在光学、光学工程、电动力学和纳米技术中具有重要意义。计算纳米光子学对于描述、分析和预测发生在纳米尺度上的光-物质相互作用至关重要,并且在过去的几十年里一直是纳米光子学创新的催化剂。在越来越多的情况下,纳米光子现象的分析需要我们考虑在空间和时间的扩展范围内发生的过程的复杂相互作用,这可能来自材料效应(量子、电子、热、机械)、环境因素和测量伪影。目前克服这些挑战的方法简化了假设,导致预测不佳,甚至模型和数据之间不匹配。计算和方法的最新进展,包括我的团队,为更高保真度的纳米光子现象建模创造了机会。我的长期目标是探索跨越多个空间和时间尺度的光-物质相互作用描述的计算方法,在模型复杂性和计算成本之间取得平衡,并通过实验比较验证这些方法。这项研究将为研究纳米光子学技术的基本限制提供有效的方法,探索其在现实世界中的应用潜力,并为纳米光子学器件设计提供新的系统级方法。我的研究计划的方法论方面将受到纳米光子学技术的基本问题和应用的激励。我们将探索模拟由光束撞击可变形介质(如气体、流体和弹性固体)引起的纳米和微观尺度材料运动的方法。这些预测将与实验测量结果进行比较,并用于开展流体中动态辐射压力效应的新研究。我们还将探索在特定应用条件下模拟大面积宽带纳米光子涂层使用的方法。根据我们目前的研究,我们将研究它们在显示器和建筑物太阳能控制中的应用。这项研究的意义在于,它的重点是提供计算方法的基本进步,使下一代纳米光子技术的解释、分析和设计成为可能。这项研究建立在加拿大在计算纳米光子学方面的专业知识的基础上,可以导致低成本的、基于知识的创新,这些创新可以通过HQP直接商业化。学生培训是重中之重,我打算提供一个包容的学习环境,平衡研究培训、体验式创业和职业发展的HQP多元化群体。
英文摘要
Nanophotonics - the study of light interaction at nanometre scales and the development of technologies to control the flow of light using nanofabricated structures - is of importance in optics, optical engineering, electrodynamics, and nanotechnology. Computational nanophotonics is essential for describing, analyzing, and predicting light-matter interactions occurring at nanometre-size scales and has been a catalyst for nanophotonic innovations over the past couple of decades. In a growing number of settings, analysis of nanophotonic phenomena requires that we account for intricate interactions of processes occurring over extended ranges of space and time, which may arise from material effects (quantum, electronic, thermal, mechanical), environmental factors, and measurement artifacts. Current approaches to overcome these challenges make simplifying assumptions, leading to poor predictions or even mismatch between model and data. Recent advances in computation and methodologies, including those from my team, have created opportunities for higher fidelity modelling of nanophotonic phenomena. My long-term objective is to explore computational methods that bridge descriptions of light-matter interaction across multiple scales of space and time, striking a balance between model complexity and computational cost, and to validate these methods through experimental comparison. This research will enable efficient approaches to investigate the fundamental limits of nanophotonics technology, to explore their potential for real-world use, and to enable new, systems-level approaches to nanophotonic device design. Methodological aspects of my research program will be motivated by fundamental problems and applications of nanophotonics technology. We will explore approaches to model nano- and micro-scale material motion caused by light beams impinging on deformable media such as gases, fluids, and elastic solids. These predictions will be compared to experimental measurements and used to open new investigations of dynamic radiation pressure effects in fluids. We will also explore approaches to model the use of large-area, broadband nanophotonic coatings under application-specific conditions. Based on our current research, we will examine their use in displays and for solar control in buildings. The significance of this research lies in its focus on providing essential advancements in computational methods to enable interpretation, analysis and design of next-generation nanophotonic technologies. The research builds on Canadian expertise in computational nanophotonics and can lead to low-cost, knowledge-based innovations that could be directly commercialized by HQP. Student training is a top priority, and I intend to provide an inclusive learning environment that balances research training, experiential entrepreneurship, and career development for a diverse group of HQP.
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Multi-scale computational nanophotonics
  • 批准号:
    RGPIN-2021-02987
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2021
  • 负责人:
    Chau, Kenneth
  • 依托单位:
Development of low-cost, compact fibre optic O2 and CO2 gas sensors for COVID-19 applications of portable metabolic analyzers
  • 批准号:
    554951-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Chau, Kenneth
  • 依托单位:
New Frontiers in Plasmonic Metamaterials: Flat-Lens Microscopy and Tractor Beaming
  • 批准号:
    RGPIN-2015-04838
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2019
  • 负责人:
    Chau, Kenneth
  • 依托单位:
New Frontiers in Plasmonic Metamaterials: Flat-Lens Microscopy and Tractor Beaming
  • 批准号:
    RGPIN-2015-04838
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2018
  • 负责人:
    Chau, Kenneth
  • 依托单位:
国内基金
海外基金
基于热量传递的传统固态发酵过程缩小(Scale-down)机理及调控
  • 批准号:
    22108101
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    靳光远
  • 依托单位:
基于Multi-Scale模型的轴流血泵瞬变流及空化机理研究
  • 批准号:
    31600794
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2016
  • 负责人:
    荆腾
  • 依托单位:
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
  • 批准号:
    61672236
  • 项目类别:
    面上项目
  • 资助金额:
    64.0万元
  • 批准年份:
    2016
  • 负责人:
    王骏
  • 依托单位:
城镇居民亚健康状态的评价方法学及健康管理模式研究
  • 批准号:
    81172775
  • 项目类别:
    面上项目
  • 资助金额:
    14.0万元
  • 批准年份:
    2011
  • 负责人:
    许军
  • 依托单位: