Single-Step, Rapidly Reconfigurable Grayscale Nanoprinting by Light-Controlled Nanocapillary Effect
通过光控纳米毛细管效应进行单步、快速可重构灰度纳米打印
基本信息
- 批准号:2129796
- 负责人:
- 金额:$ 52.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Meta-surfaces are material surfaces decorated with nanoscale features, which often acquire a variety of useful characteristics. Some of them generate vibrant colors without using dyes. Others can turn the moisture on them into tiny beads and clean themselves, a very useful feature for solar panels. Some others can even kill germs on them without using harmful chemicals. Meta-surfaces with such useful properties benefit society by promoting health, safety and sustainability. Recently, scientists discovered that spatially varying the height of the nanoscale surface features, or nanopixels, can make the meta-surfaces multi-functional. The key challenge is manufacturing the nanopixels with variable heights in a controllable manner. This award supports research to find a simple method to realize such variable height nanopixels. It is analogous to printing grayscale pixels. The grayscale nanoprinting method is based on the phenomenon of capillary action and its nanoscale control by light. To expedite the optimal design of the variable height meta-surfaces, the research approach integrates data science and machine learning. Accordingly, the research not only enriches nanomanufacturing but also advances fundamental nanotechnology and computational sciences through interdisciplinary endeavors. Plans for making science and technology more attractive to the general public and more accessible to women and underrepresented groups are included.This research explores light-controlled capillary effect for grayscale nanoprinting and nanotexturing. Conventional nanoprinting produces constant height nanopixels because the capillary rise of the photopolymer into the nanocavity cannot be stopped at an arbitrarily chosen height, nor can modulating the height as a function of position be possible. This research seeks to achieve both by exploiting the discovery that the capillary rise of certain polymers can be accurately controlled by light. The key enabling mechanism is the light-induced changes in the polymer’s liquid volume and viscosity which, in turn, govern the level of the polymer’s capillarity. Optical control is highly advantageous because light patterns can be rapidly updated by a spatial light modulator and easily shrunk down to the microscale by reduction optics, enabling rapidly reconfigurable, ultrahigh-resolution grayscale nanoprinting. This research establishes a novel nanomanufacturing paradigm and provides a useful tool for studying the physical process of polymeric capillarity. The collected data is leveraged to train a combination of advanced statistical and machine learning models to enable data-driven optimal design of meta-surfaces and their manufacturing. To combat the issues of data paucity and complex underlying physics, a synergistic combination of generalized models and deep learning is adopted to represent multi-physical performance targets, such as hydrophobicity and transparency.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
元曲面是装饰有纳米级特征的材料表面,通常会获得各种有用的特征。其中一些会产生鲜艳的色彩,而无需使用染料。其他人可以将它们的水分变成微小的珠子并清洁自己,这是太阳能电池板非常有用的功能。其他一些人甚至可以在不使用有害化学物质的情况下杀死细菌。具有如此有用特性的元表面通过促进健康,安全和可持续性使社会受益。最近,科学家发现,在空间上改变了纳米级表面特征或纳米质的高度,可以使元表面多功能。关键的挑战是以可控的方式生产具有可变高度的纳米质子。该奖项支持研究,以找到一种简单的方法来实现这种可变的高度纳米质子。它类似于打印灰度像素。灰度纳米构方法基于毛细作用的现象及其纳米级控制的现象。为了加快可变高度元曲面的最佳设计,研究方法整合了数据科学和机器学习。根据这项研究,该研究不仅丰富了纳米制造,而且还通过跨学科的努力提高了基本纳米技术和计算科学。包括使科学和技术对公众更具吸引力的计划,包括妇女和代表性不足的群体更容易获得。这项研究探讨了灰纳米纳米折线和纳米胶片的光控制毛细管效应。传统的纳米载构产生恒定的高度纳米质素,因为光聚合物向纳米腔的毛细血管升高不能在任意选择的高度下停止,也无法调节高度作为位置的函数。这项研究试图通过利用发现某些聚合物的毛细管升高可以通过光准确控制的发现来实现。关键的促成机制是聚合物液体体积和粘度的光引起的变化,进而控制了聚合物毛细血管的水平。光学控制具有高度优势,因为可以通过空间光调节器快速更新光图,并通过还原光学元件轻松地缩小到微观尺度上,从而可以快速重新配置,超高分辨率的灰度纳米构型。这项研究建立了一种新型的纳米制造范式,并为研究聚合物毛细血管的物理过程提供了有用的工具。利用收集的数据来训练先进的统计和机器学习模型的组合,以实现数据驱动的元曲面及其制造的最佳设计。为了打击数据匮乏和复杂的潜在物理问题,采用了广义模型和深度学习的协同组合来代表多物理性能目标,例如疏水性和透明度。该奖项反映了NSF的法定任务,并通过基金会的知识优点和广泛的影响来通过评估来诚实地通过评估来进行评估,以诚实地进行评估。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Optical Freeze-Framing and Analysis of Nanofluidic Behaviors in Elastomeric Nanocavities
弹性纳米腔中纳米流体行为的光学冻结框架和分析
- DOI:10.1109/mems51670.2022.9699535
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Ji, Myung Gi;Li, Qiang;Kim, Jaeyoun
- 通讯作者:Kim, Jaeyoun
Height-modulation of diffraction gratings by light-controlled capillary force lithography for structural coloring
通过光控毛细管力光刻对衍射光栅进行高度调制以实现结构着色
- DOI:10.1117/12.2650950
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Ji, Myung Gi;Kim, Jaeyoun
- 通讯作者:Kim, Jaeyoun
Interpretable and Flexible Generalization of Evolving Computational Materials’ Framework for Heterogeneous Composite Structures
不断发展的计算材料的可解释和灵活的泛化 – 异质复合结构框架
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Bazroun, Mohammed;Yang, Yicheng;Cho, In Ho
- 通讯作者:Cho, In Ho
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Jaeyoun Kim其他文献
Towards Full-Scale Integration and Beyond
- DOI:
10.1007/978-3-319-50286-1_6 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Jaeyoun Kim - 通讯作者:
Jaeyoun Kim
Design and fabrication of low-loss hydrogenated amorphous silicon overlay DBR for glass waveguide devices
用于玻璃波导器件的低损耗氢化非晶硅覆盖DBR的设计和制造
- DOI:
10.1117/12.502291 - 发表时间:
2002 - 期刊:
- 影响因子:0
- 作者:
Jaeyoun Kim;K. Winick;C. Florea;M. Mccoy - 通讯作者:
M. Mccoy
Broadband, high-brightness 10-Gbit/s supercontinuum source for A/D conversion
用于 A/D 转换的宽带、高亮度 10 Gbit/s 超连续谱源
- DOI:
- 发表时间:
2000 - 期刊:
- 影响因子:0
- 作者:
O. Boyraz;Jaeyoun Kim;M. Islam;F. Coppinger;B. Jalali - 通讯作者:
B. Jalali
Fluorescence enhancement of quantum dots enclosed in Au nanopockets with subwavelength aperture
亚波长孔径金纳米袋中量子点的荧光增强
- DOI:
10.1063/1.2388870 - 发表时间:
2006 - 期刊:
- 影响因子:4
- 作者:
G. Liu;Jaeyoun Kim;Yu Lu;Luke P. Lee - 通讯作者:
Luke P. Lee
Numerical investigation of finite thickness metal-insulator-metal structure for waveguide-based surface plasmon resonance biosensing
基于波导的表面等离子体共振生物传感的有限厚度金属-绝缘体-金属结构的数值研究
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Yifen Liu;Jaeyoun Kim - 通讯作者:
Jaeyoun Kim
Jaeyoun Kim的其他文献
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{{ truncateString('Jaeyoun Kim', 18)}}的其他基金
Development of spirally coiling, force-sensing soft-robot for safe and accurate cochlear electrode implantation
开发螺旋卷绕、力感应软机器人,实现安全、准确的耳蜗电极植入
- 批准号:
1605275 - 财政年份:2016
- 资助金额:
$ 52.5万 - 项目类别:
Standard Grant
EAGER: Bio-inspired Thin and Flat Solar Concentrator
EAGER:仿生薄型扁平太阳能聚光器
- 批准号:
1147413 - 财政年份:2012
- 资助金额:
$ 52.5万 - 项目类别:
Standard Grant
CAREER: Bio-inspired MEMS imaging platform with ultrawide, dynamically tunable field-of-view for biomedical and assistive applications
职业:仿生 MEMS 成像平台,具有超宽、动态可调视野,适用于生物医学和辅助应用
- 批准号:
0954845 - 财政年份:2010
- 资助金额:
$ 52.5万 - 项目类别:
Standard Grant
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二步分层李群上的Hardy不等式及相关问题研究
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不确定非线性系统凸优化模糊自适应命令滤波反步控制及应用
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“一步法”构筑氧化石墨烯/液晶聚合物复合膜及其光致形变行为研究
- 批准号:52303080
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相似海外基金
CAREER: Data-Enabled Neural Multi-Step Predictive Control (DeMuSPc): a Learning-Based Predictive and Adaptive Control Approach for Complex Nonlinear Systems
职业:数据支持的神经多步预测控制(DeMuSPc):一种用于复杂非线性系统的基于学习的预测和自适应控制方法
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I-Corps:使用电化学锌/氧化锌循环生产氢气的两步水分解方法
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Weak notions of curvature-dimension conditions on step-two Carnot groups
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- 批准号:
24K16928 - 财政年份:2024
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Designing synthetic matrices for enhanced organoid development: A step towards better disease understanding
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- 批准号:
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