Collaborative Research: Nanostructure Growth Process Modeling and Optimal Experimental Strategies for Repeatable Fabrication of Nanostructures for Application in Photovoltaics
合作研究:纳米结构生长过程建模和可重复制造光伏应用纳米结构的最佳实验策略
基本信息
- 批准号:1000972
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-08-15 至 2014-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this award is to establish statistics-transformed nanostructure growth process models and efficient experimental strategies for improving process repeatability in the fabrication of nanostructures for the application in photovoltaic cells. To achieve repeatable fabrication of photovoltaic cells with respect to yield (productivity) and uniformity (quality), it is essential to identify and optimize the growth conditions rooted on predictive process models. These models will capture the mechanisms of nanostructure growth under process uncertainties. Since most of the current growth kinetics models are deterministic, the research will first devise statistics-transformed nanostructure growth process models that account for uncertainties. Based on the process model, optimal experimental strategies will be established for model estimation and validation with a high degree of precision under cost and time constraints. The methodology will be validated through controlled growth of nanowires and fabrication of photovoltaic cells.Successful completion of the proposed research will lead to new tools and methods for improving process repeatability and yield in nanomanufacturing, particularly in the large scale fabrication of photovaic cells. Reducing cost in photovoltaics gives prospect of achieving highly efficient and low-cost solar energy conversion, increasing the utilization of clean and renewable energy, and creating green job opportunities. This truly interdisciplinary project will promote training of a new breed of workforce excelling at nanomanufacturing process modeling and optimization and contributing to the sustainable growth of US economy. The educational goal will be achieved through (1) creating interdisciplinary nanomanufacturing curricular materials, (2) enhancing the existing research and education collaborations between University of Southern California and Harvard University, and (3) involving women/minority students through REU (Research Experience for Undergraduates) program. The generated knowledge will be broadly disseminated through leading journals, conferences, websites, and collaborators.
该奖项的研究目标是建立纳米结构生长过程模型和有效的实验策略,以提高在光伏电池中应用的纳米结构制造过程的可重复性。为了实现光伏电池在产量(生产率)和均匀性(质量)方面的可重复制造,识别和优化基于预测工艺模型的生长条件至关重要。这些模型将捕捉纳米结构的生长机制下的工艺不确定性。由于目前大多数生长动力学模型是确定性的,本研究将首先设计出考虑不确定性的南极转换纳米结构生长过程模型。基于过程模型,将建立最佳的实验策略,用于在成本和时间限制下以高精度进行模型估计和验证。该方法将通过纳米线的可控生长和光伏电池的制造来验证。拟议研究的成功完成将为提高纳米制造过程的可重复性和产量带来新的工具和方法,特别是在大规模制造光伏电池方面。降低光伏发电的成本为实现高效、低成本的太阳能转化、增加清洁和可再生能源的利用、创造绿色就业机会提供了前景。这个真正的跨学科项目将促进培养一批新的劳动力,他们擅长纳米制造过程建模和优化,并为美国经济的可持续增长做出贡献。教育目标将通过以下方式实现:(1)创建跨学科的纳米制造课程材料,(2)加强南加州大学和哈佛大学之间现有的研究和教育合作,以及(3)通过REU(本科生研究经验)计划让女性/少数民族学生参与进来。所产生的知识将通过主要期刊、会议、网站和合作者广泛传播。
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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Qiang Huang其他文献
Poly (amino acid)s as new co-formers in amorphous solid dispersion.
聚(氨基酸)作为无定形固体分散体中的新共形成物。
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:5.8
- 作者:
Qiang Huang;Zhiren Zou;Xiaobo Li;Qinwen Xiao;G. Liang;Wenqi Wu - 通讯作者:
Wenqi Wu
A simple reactive algorithm for miniature mobile robot navigation in the unknown environment with static obstacles
静态障碍未知环境下微型移动机器人导航的简单反应算法
- DOI:
10.1109/robio.2013.6739498 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Yue Li;Qiang Huang;Junyao Gao;Xuandong Su;Jingchao Zhao;Liancun Zhang - 通讯作者:
Liancun Zhang
Examining Teachers’ Roles in Online Learning
检查教师在在线学习中的角色
- DOI:
10.4995/eurocall.2018.9139 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Qiang Huang - 通讯作者:
Qiang Huang
Cognitive and Neural Mechanisms Involved in Interactions between Touch and Emotion
参与触摸和情感相互作用的认知和神经机制
- DOI:
10.4018/978-1-5225-0925-7.ch008 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Zhilin Zhang;Tianyi Yan;Qiang Huang;Jinglong Wu - 通讯作者:
Jinglong Wu
Boudouard reaction driven by thermal plasma for efficient CO2 conversion and energy storage
由热等离子体驱动的布杜阿尔反应可实现高效的二氧化碳转化和能量存储
- DOI:
10.1016/j.jechem - 发表时间:
2020-06 - 期刊:
- 影响因子:13.1
- 作者:
Zhikai Li;Tao Yang;Shaojun Yuan;Yongxiang Yin;Edwin J. Devid;Qiang Huang;Daniel Auerbach;Aart W. Kleyn - 通讯作者:
Aart W. Kleyn
Qiang Huang的其他文献
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{{ truncateString('Qiang Huang', 18)}}的其他基金
PFI-TT: Electrodeposited Flexible Superconducting Cables for Quantum Applications
PFI-TT:用于量子应用的电镀柔性超导电缆
- 批准号:
2016541 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Novel Electrodeposition Method using Water-In-Salt Electrolytes for Superconductor Thin Film Fabrication
职业:使用盐包水电解质制造超导薄膜的新型电沉积方法
- 批准号:
1941820 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
I-Corps: Electrodeposited Superconductor Coatings
I-Corps:电镀超导涂层
- 批准号:
1929549 - 财政年份:2019
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Shape Deviation Generator and Learner - An Engineering-Informed Convolution Modeling and Learning Framework for Additive Manufacturing Accuracy Control
形状偏差生成器和学习器 - 用于增材制造精度控制的工程知情卷积建模和学习框架
- 批准号:
1901514 - 财政年份:2019
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
EAGER/Collaborative Research: Explore the Theoretical Framework of Engineering Knowledge Transfer in Cybermanufacturing Systems
EAGER/协作研究:探索网络制造系统中工程知识转移的理论框架
- 批准号:
1744121 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Correlating The Chemistry and Process With The Impurity, Structure and Properties of Electrodeposited Cobalt for Advanced Interconnects
将先进互连件的化学和工艺与电沉积钴的杂质、结构和性能相关联
- 批准号:
1662332 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CPS/Synergy/Collaborative Research: Smart Calibration Through Deep Learning for High-Confidence and Interoperable Cyber-Physical Additive Manufacturing Systems
CPS/协同/协作研究:通过深度学习进行智能校准,实现高可信度和可互操作的网络物理增材制造系统
- 批准号:
1544917 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: Geometric Shape Error Control for High-Precision Additive Manufacturing
合作研究:高精度增材制造的几何形状误差控制
- 批准号:
1333550 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Nanomanufacturing Process Modeling and Control - A Foundation for Large-Scale Production
职业:纳米制造过程建模和控制 - 大规模生产的基础
- 批准号:
1055394 - 财政年份:2011
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
In Situ Nanomanufacturing Process Control Through Multiscale Nanostructure Growth Modeling
通过多尺度纳米结构生长建模进行原位纳米制造过程控制
- 批准号:
1002580 - 财政年份:2009
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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