Developing Nanostructured Inorganic-Organic Hybrid Semiconductors for Photovoltaic Applications
开发用于光伏应用的纳米结构无机-有机混合半导体
基本信息
- 批准号:0706069
- 负责人:
- 金额:$ 39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-01-01 至 2011-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project aims to develop a unique class of inorganic-organic hybrid semiconductors with strong potential for photovoltaic applications. These materials can be considered as derivatives of II-VI based wide-bandgap hybrid systems, and will be designed to have systematically tunable crystal structures, compositions and semiconductor properties, with band gaps falling in a range specifically suitable for use in solar cells. These crystalline materials are composed of semiconductor motifs of identical size (e.g. chains, single-layer and multi-layer slabs), which are arranged into perfectly ordered arrays via chemical bonds with organic spacers. They demonstrate unusual and numerous enhanced electronic and optical properties that are not achievable in their semiconductor parent bulk, as a result of strong structure-induced quantum confinement. The goal is to research fundamental questions concerning the chemistry and physics occurring at the inorganic-organic interface, which will assist in-depth understanding of the structure-composition-property relationship, and offer guidance to future development of hybrid materials with unique properties. Important educational aspects of this project include strong commitment to student training. %%%Seeking affordable, clean, and efficient energy to replace fossil fuels has become a major global effort to reduce emission of green house gases. Sunlight is a widely available renewable energy source and photovoltaics (PV) is an important power-generating technology that converts sunlight directly into electricity. This research project will provide semiconductor materials with improved performance for solar energy conversion technologies. The materials will be made of both inorganic and organic components, and the blending of the two will lead to a number of enhanced functionalities. By modifying their structures and compositions one can systematically tune the properties of these hybrid semiconductors to increase energy efficiency. The impact of this project is both educational and technological. From an educational point of view, this project will provide unique opportunities for graduate and undergraduate students to directly participate in energy research, and as a result of the involvement of the PI in several campus- and university-wide centers and programs at Rutgers, such as the Institute of Advanced Materials, Devices and Nanotechnology (IAMDN), an Energy Research Initiative (ERI), two NSF funded Interdisciplinary Graduate Education and Research Training (IGERT) programs, and Engineering Research Center (ERC), a more general training and education will be available to students supported under this grant.
该项目旨在开发一种独特的无机-有机混合半导体,具有很强的光伏应用潜力。这些材料可以被认为是基于II-VI的宽带隙混合系统的衍生物,并且将被设计成具有系统可调谐的晶体结构,成分和半导体特性,其带隙落在一个特别适合用于太阳能电池的范围内。这些晶体材料由相同尺寸的半导体基元(例如链、单层和多层板)组成,它们通过有机间隔物的化学键排列成完美有序的阵列。由于强结构诱导的量子约束,它们表现出不同寻常的、许多增强的电子和光学特性,这在半导体母体中是无法实现的。目的是研究无机-有机界面发生的化学和物理基本问题,这将有助于深入了解结构-组成-性能关系,并为未来具有独特性能的杂化材料的开发提供指导。该项目重要的教育方面包括对学生培训的坚定承诺。寻找负担得起的、清洁的、高效的能源来取代化石燃料已经成为全球减少温室气体排放的主要努力。阳光是一种广泛使用的可再生能源,光伏发电(PV)是一种将阳光直接转化为电能的重要发电技术。该研究项目将为太阳能转换技术提供性能更好的半导体材料。这些材料将由无机和有机成分制成,两者的混合将导致许多增强的功能。通过改变它们的结构和成分,人们可以系统地调整这些混合半导体的特性,以提高能源效率。这个项目的影响是教育和技术。从教育的角度来看,该项目将为研究生和本科生提供直接参与能源研究的独特机会,并且由于PI参与了罗格斯大学校园和大学范围内的几个中心和项目,例如先进材料,器件和纳米技术研究所(IAMDN),能源研究倡议(ERI),两个NSF资助的跨学科研究生教育和研究培训(IGERT)项目,与工程研究中心(ERC)合作,为获资助的学生提供更全面的培训和教育。
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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Jing Li其他文献
Interactive visual analytics of moving passenger flocks using massive smart card data
使用大量智能卡数据对移动旅客群进行交互式视觉分析
- DOI:
10.1080/15230406.2022.2039775 - 发表时间:
2022-03 - 期刊:
- 影响因子:2.5
- 作者:
Tong Zhang;Wei He;Jing Huang;Zhenxuan He;Jing Li - 通讯作者:
Jing Li
Atomistic description of Si etching with HCl
用 HCl 蚀刻 Si 的原子描述
- DOI:
10.1016/j.apsusc.2024.159836 - 发表时间:
2024 - 期刊:
- 影响因子:6.7
- 作者:
Biel Martínez;Jing Li;Hector Prats;Benoît Sklénard - 通讯作者:
Benoît Sklénard
Preparation and Mechanical Properties of Carbon Nanotubes Reinforced Al2O3/TiC composites
碳纳米管增强Al2O3/TiC复合材料的制备及力学性能
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Jing Li;Hui Liu - 通讯作者:
Hui Liu
Occurrence, migration and health risk of phthalates in tap water, barreled water and bottled water in Tianjin, China
天津市自来水、桶装水和瓶装水中邻苯二甲酸盐的存在、迁移及健康风险
- DOI:
10.1016/j.jhazmat.2020.124891 - 发表时间:
2021 - 期刊:
- 影响因子:13.6
- 作者:
Chenchen Wang;Panpan Huang;Chunsheng Qiu;Jing Li;Shuailong Hu;Liping Sun;Yaohui Bai;Fu Gao;Chaocan Li;Nannan Liu;Dong Wang;Shaopo Wang - 通讯作者:
Shaopo Wang
Multiple mediators in the relationship between perceived teacher autonomy support and student engagement in math and literacy learning
感知教师自主支持与学生数学和识字学习参与度之间关系的多重中介因素
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Hongrui Liu;M. Yao;Jing Li;Ruoxuan Li - 通讯作者:
Ruoxuan Li
Jing Li的其他文献
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{{ truncateString('Jing Li', 18)}}的其他基金
CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
职业:迈向具有学习组件的安全关键实时系统
- 批准号:
2340171 - 财政年份:2024
- 资助金额:
$ 39万 - 项目类别:
Continuing Grant
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
合作研究:RUI:受化学计量约束的结构化人口动态
- 批准号:
2322104 - 财政年份:2023
- 资助金额:
$ 39万 - 项目类别:
Standard Grant
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
PIPP第一阶段:全面、集成、智能的系统,用于个人和人群层面的早期、准确的流行病预测、预防和准备
- 批准号:
2200255 - 财政年份:2022
- 资助金额:
$ 39万 - 项目类别:
Standard Grant
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
NSF-BSF:合作研究:汽车行业技术采用的市场行为
- 批准号:
2049263 - 财政年份:2021
- 资助金额:
$ 39万 - 项目类别:
Standard Grant
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
职业:关联内存图处理范式:在盒子中实现 Tera-TEPS 图遍历
- 批准号:
2040463 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Continuing Grant
FET: CCF: Small: Computational Drug Prediction through Joint Learning
FET:CCF:小型:通过联合学习进行计算药物预测
- 批准号:
2006780 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Standard Grant
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
从成像表型逆映射时空分子异质性
- 批准号:
2053170 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Continuing Grant
RAPID:Genomic Variation Analysis of Coronavirus to Better Understand the Spread of COVID-19
RAPID:冠状病毒的基因组变异分析,以更好地了解 COVID-19 的传播
- 批准号:
2027667 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Standard Grant
CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources
CRII:CSR:在多个并行资源上实现高效的实时系统
- 批准号:
1948457 - 财政年份:2020
- 资助金额:
$ 39万 - 项目类别:
Standard Grant
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
从成像表型逆映射时空分子异质性
- 批准号:
1903135 - 财政年份:2019
- 资助金额:
$ 39万 - 项目类别:
Continuing Grant
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