Algorithmic Fabrication of Nanophotonic Structures
纳米光子结构的算法制造
基本信息
- 批准号:RTI-2019-00287
- 负责人:
- 金额:$ 10.89万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Research Tools and Instruments
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The proposal herein is to fund the creation of a system to perform in situ characterisation and fabrication of nanophotonic structures. These will be used to improve performance and even bring new functionality to optoelectronic devices, including photovoltaic solar cells, photodetector and imaging sensors for smartphones and autonomous vehicles, and single photon emitters for quantum computing applications. This instrument would represent the first investment in research equipment in my lab, and would enable my group to begin ground-breaking experimental work in these critical applications.******The system specifically would be used for the algorithmic fabrication of nanophotonic structures (structures that utilize the wave-nature of light) for optoelectronic applications. This is achieved by combining a multi-photon polymerisation lithography system with a high-resolution laser microscopy setup in a single instrument, allowing the system to automatically write and characterise structures developed by a design algorithm. The polymer material is chosen to maximise the index contrast between the exposed (solid) and unexposed (liquid) states to enable characterisation without the need to remove the sample for development. The characterisation of the written material can thus be used to provide feedback during fabrication, or by the control algorithm to influence the design of the following structure, thereby allowing iterative design to be performed experimentally. This would thereby allow a physical manifestation of the algorithmic design processes that so far have only ever been performed through simulations.******Beyond the in situ characterisation and automated design process, the instrument is configured to achieve state-of-the-art performance in multi-photon lithography and laser characterisation of the structures and devices explored in my research. This includes techniques of maskless 2D lithography; 3D nanolithography; fluorescence, laser, and two-photon microscopy; as well as super-resolution photo activation microscopy. These are all techniques that I have either developed or used heavily in my PhD and postdoctoral work in the US and the Netherlands, and am excited to bring these into my own research program here in Canada.******To my knowledge, no system currently exists in the world that combines this unique set of techniques necessary for the algorithmic fabrication process investigated here. This is an excellent opportunity to both demonstrate to HQP in my lab, our collaborators' labs, as well as other groups around the world how automation in nanofabrication can be revolutionary in the realm of scientific research. Furthermore, there does not yet exist any system as Western University currently able to perform the fabrication of the structures investigated by my research plan. This instrument would thus not only initiate a novel nanoscience design process to explored, but would enable the commencement of my entire experimental research program.
这里的建议是资助创建一种系统来执行纳米光子结构的原位表征和制造。这些将被用来提高性能,甚至为光电子设备带来新的功能,包括光伏太阳能电池,用于智能手机和自动驾驶汽车的光电探测器和成像传感器,以及用于量子计算应用的单光子发射器。这台仪器将是我实验室在研究设备上的第一笔投资,并将使我的团队能够在这些关键应用中开始突破性的实验工作。*该系统将专门用于光电子应用中纳米光子结构(利用光的波动性的结构)的算法制造。这是通过将多光子聚合光刻系统与设置在单个仪器中的高分辨率激光显微镜相结合来实现的,允许系统自动写入和表征由设计算法开发的结构。选择聚合物材料是为了最大化暴露(固体)和未暴露(液体)状态之间的折射率对比度,从而能够在不需要取出样品进行显影的情况下进行表征。因此,书写材料的表征可用于在制造期间提供反馈,或通过控制算法来影响后续结构的设计,从而允许在实验上执行迭代设计。因此,这将允许对迄今为止仅通过模拟执行的算法设计过程进行物理表现。*除了原位表征和自动化设计过程外,该仪器还被配置为在我的研究中探索的结构和设备的多光子光刻和激光表征方面实现最先进的性能。这包括无掩模2D光刻技术;3D纳米光刻技术;荧光、激光和双光子显微镜技术;以及超分辨率光激活显微镜技术。这些都是我在美国和荷兰的博士和博士后工作中开发或大量使用的技术,我很高兴能将这些技术带到我在加拿大的研究项目中。*据我所知,目前世界上还没有系统结合这组独特的技术,这些技术是这里研究的算法构建过程所必需的。这是一个极好的机会,可以在我的实验室、我们的合作者实验室以及世界各地的其他组织向HQP展示纳米制造的自动化如何在科学研究领域产生革命性的影响。此外,目前还没有任何系统,因为西方大学目前能够进行我的研究计划调查的结构的制造。因此,这台仪器不仅将启动一个新的纳米科学设计过程进行探索,而且将使我的整个实验研究计划得以开始。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Johlin, Eric其他文献
Machine Learning in Interpolation and Extrapolation for Nanophotonic Inverse Design.
- DOI:
10.1021/acsomega.2c04526 - 发表时间:
2022-09-20 - 期刊:
- 影响因子:4.1
- 作者:
Acharige, Didulani;Johlin, Eric - 通讯作者:
Johlin, Eric
3D multi-energy deconvolution electron microscopy
- DOI:
10.1039/c6nr07991a - 发表时间:
2017-01-14 - 期刊:
- 影响因子:6.7
- 作者:
de Goede, Michiel;Johlin, Eric;Garnett, Erik C. - 通讯作者:
Garnett, Erik C.
Johlin, Eric的其他文献
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{{ truncateString('Johlin, Eric', 18)}}的其他基金
Algorithmically Designed Optoelectronic Devices
算法设计的光电器件
- 批准号:
RGPIN-2019-05130 - 财政年份:2022
- 资助金额:
$ 10.89万 - 项目类别:
Discovery Grants Program - Individual
Algorithmically Designed Optoelectronic Devices
算法设计的光电器件
- 批准号:
RGPIN-2019-05130 - 财政年份:2021
- 资助金额:
$ 10.89万 - 项目类别:
Discovery Grants Program - Individual
System for fabrication and characterisation of novel perovskite solar cells
新型钙钛矿太阳能电池的制造和表征系统
- 批准号:
RTI-2022-00635 - 财政年份:2021
- 资助金额:
$ 10.89万 - 项目类别:
Research Tools and Instruments
Algorithmically Designed Optoelectronic Devices
算法设计的光电器件
- 批准号:
RGPIN-2019-05130 - 财政年份:2020
- 资助金额:
$ 10.89万 - 项目类别:
Discovery Grants Program - Individual
Algorithmically Designed Optoelectronic Devices
算法设计的光电器件
- 批准号:
RGPIN-2019-05130 - 财政年份:2019
- 资助金额:
$ 10.89万 - 项目类别:
Discovery Grants Program - Individual
Algorithmically Designed Optoelectronic Devices
算法设计的光电器件
- 批准号:
DGECR-2019-00223 - 财政年份:2019
- 资助金额:
$ 10.89万 - 项目类别:
Discovery Launch Supplement
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