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
纳米光子学在光学、光学工程、电动力学和纳米技术中具有重要意义。纳米光子学研究纳米尺度上的光相互作用,并开发利用纳米级结构控制光流的技术。计算纳米光子学对于描述、分析和预测纳米尺度上发生的光-物质相互作用是必不可少的,在过去的几十年里一直是纳米光子学创新的催化剂。在越来越多的环境中,分析纳米光子现象需要我们考虑在更大的空间和时间范围内发生的过程的复杂相互作用,这可能是由材料效应(量子、电子、热、机械)、环境因素和测量人工制品引起的。目前克服这些挑战的方法是简化假设,导致预测不佳,甚至导致模型和数据之间的不匹配。最近在计算和方法方面的进步,包括我的团队的进步,为纳米光子现象的更高保真度建模创造了机会。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,并通过实验比较来验证这些方法。这项研究将使有效的方法能够研究纳米光子学技术的基本极限,探索它们在现实世界中的使用潜力,并使新的系统级方法能够设计纳米光子学设备。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推动。我们将探索对光束撞击气体、流体和弹性固体等可变形介质引起的纳米和微米尺度材料运动进行建模的方法。这些预测将与实验测量结果进行比较,并用于开启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,我们将检查它们在显示器和建筑物中用于日光控制的用途。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,以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基础上,可以导致低成本、基于知识的创新,这些创新可以直接由HQP商业化。学生培训是重中之重,我打算为不同的HQP群体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。
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: