Experiments, Applications and Modeling of Advanced Optical Traps for Manipulating and Sorting Micro and Nano Particles
用于操纵和分选微米和纳米粒子的先进光阱的实验、应用和建模
基本信息
- 批准号:0654031
- 负责人:
- 金额:$ 21.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-07-01 至 2010-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research is focused at separating and sorting the microscopic particles found in many scientific and industrial processes. Control over the size distribution and type of such particles is essential in the pharmaceutical, manufacturing, and scientific communities today. The goals of this research are to (i) use advanced holographic optical traps as a non-invasive, non-destructive means of particle separation and manipulation and (ii) to develop the theory, currently lacking, for designing these processes. The novelty of this work is that custom-tailored optical traps will be developed depending on the properties of the particles to be manipulated. Mathematical models, developed as part of the research work, will incorporate the basic input parameters such as the optical trap landscape, particle size, particle type, and temporal variation of trap geometry. These models will be validated by comparison with experimental results.This work will open the door for new clinical, manufacturing, and research applications for optical traps and lead to advances in many essential fields. Both graduate and undergraduate students will have the chance to participate in the research through research assistantships and a Purdue undergraduate fellowship. Also, a subsequent Research Experience for Undergraduates research will be written to the NSF to support a second undergraduate student on the project. The results of the research will be disseminated to both graduate and undergraduate students as learning units in Wereley's Micro/Nanoscale Physical Processes class and his Micro/Nano Fluid Mechanics class.
这项研究的重点是分离和分选在许多科学和工业过程中发现的微观颗粒。 控制这些颗粒的尺寸分布和类型在当今的制药、制造和科学界是必不可少的。 这项研究的目标是(i)使用先进的全息光学陷阱作为一种非侵入性,非破坏性的粒子分离和操纵手段,(ii)发展理论,目前缺乏,设计这些过程。 这项工作的新奇在于,定制的光阱将根据被操纵的粒子的性质而开发。数学模型,作为研究工作的一部分,将纳入基本的输入参数,如光学陷阱景观,颗粒大小,颗粒类型和陷阱几何形状的时间变化。这些模型将通过与实验结果的比较来验证,这项工作将为光阱的新的临床、制造和研究应用打开大门,并导致许多重要领域的进步。研究生和本科生都将有机会通过研究助理和普渡大学本科奖学金参与研究。此外,随后的本科生研究经验将被写入NSF,以支持该项目的第二个本科生。研究的结果将传播给研究生和本科生作为学习单位在Wewey的微/纳米物理过程类和他的微/纳米流体力学类。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Steve Wereley其他文献
Steve Wereley的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Steve Wereley', 18)}}的其他基金
RAPID: Assessing flow rate of Macondo oil spill
RAPID:评估马孔多漏油流量
- 批准号:
1057540 - 财政年份:2010
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
SGER: Scaling Down Mechanically Driven Fluidic Self-Assembly
SGER:缩小机械驱动流体自组装规模
- 批准号:
0426779 - 财政年份:2004
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
Collaborative Proposal: Form and function of phytoplankton in unsteady, low Reynolds-number flows
合作提案:不稳定、低雷诺数流中浮游植物的形式和功能
- 批准号:
0221003 - 财政年份:2002
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
NER: Explorations in Biomedical Microdevices: Brownian Motion and Education
NER:生物医学微型设备的探索:布朗运动和教育
- 批准号:
0210453 - 财政年份:2002
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
相似国自然基金
Applications of AI in Market Design
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研 究基金项目
英文专著《FRACTIONAL INTEGRALS AND DERIVATIVES: Theory and Applications》的翻译
- 批准号:12126512
- 批准年份:2021
- 资助金额:12.0 万元
- 项目类别:数学天元基金项目
相似海外基金
Collaborative Research: Strain-limiting Cosserat Rods with Applications to Modeling Biological Fibers
合作研究:应变限制 Cosserat 棒在生物纤维建模中的应用
- 批准号:
2307563 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
Collaborative Research: Strain-limiting Cosserat Rods with Applications to Modeling Biological Fibers
合作研究:应变限制 Cosserat 棒在生物纤维建模中的应用
- 批准号:
2307562 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications
协作研究:SHF:Medium:内存计算结构跨层基准测试的综合建模框架:从设备到应用程序
- 批准号:
2347024 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
Statistical Modeling and Inference for Network Data in Modern Applications
现代应用中网络数据的统计建模和推理
- 批准号:
2326893 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Continuing Grant
Travel: NSF Student Travel Grant for 2023 Workshop on Modeling & Simulation of Systems and Applications (ModSim 2023)
旅行:2023 年建模研讨会 NSF 学生旅行补助金
- 批准号:
2330207 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
Quantitative Modeling Software with Applications to Medical Decision Making
定量建模软件在医疗决策中的应用
- 批准号:
10823037 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Applications of Trajectory and Transition Modeling Methods to Characterize the Dynamic Relationship Between Food Insecurity, Health, and Health Care Use in Low-Income Older Adults in the United States
应用轨迹和转移建模方法来描述美国低收入老年人的粮食不安全、健康和医疗保健使用之间的动态关系
- 批准号:
10617008 - 财政年份:2023
- 资助金额:
$ 21.25万 - 项目类别:
Opinion Formation and Graph Dynamics: From Modeling to Empirical Applications
意见形成和图形动态:从建模到实证应用
- 批准号:
2206330 - 财政年份:2022
- 资助金额:
$ 21.25万 - 项目类别:
Standard Grant
Modeling gene expression trajectories in the developing brain: methods and applications
发育中大脑的基因表达轨迹建模:方法和应用
- 批准号:
RGPIN-2016-04911 - 财政年份:2022
- 资助金额:
$ 21.25万 - 项目类别:
Discovery Grants Program - Individual
Execution Modeling and Analytics for Large-scale and Data-intensive Software Applications
大规模数据密集型软件应用程序的执行建模和分析
- 批准号:
RGPIN-2018-06312 - 财政年份:2022
- 资助金额:
$ 21.25万 - 项目类别:
Discovery Grants Program - Individual