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Developing Nanostructured Inorganic-Organic Hybrid Semiconductors for Photovoltaic Applications

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
批准号:
0706069
负责人:
Jing Li
金额:
$39.0万
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
项目状态:
已结题
起止时间:
2008-01-01 至 2011-12-31

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中文摘要
翻译
该项目旨在开发一类独特的无机-有机混合半导体,具有强大的光伏应用潜力。这些材料可以被认为是基于II-VI族的宽带隙混合系统的衍生物,并且将被设计为具有系统可调的晶体结构、组成和半导体性质,带隙落入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图案(例如,链、单层和多层板)组成,这些图案通过与有机间隔物的化学键排列成完美有序的阵列。它们表现出不寻常的和许多增强的电子和光学性质,这是无法实现在其半导体母体,作为强结构诱导的量子限制的结果。目标是研究有关无机-有机界面发生的化学和物理的基本问题,这将有助于深入理解结构-组成-性能关系,并为未来开发具有独特性能的杂化材料提供指导。该项目的重要教育方面包括对学生培训的坚定承诺。寻找廉价、清洁和高效的能源来替代化石燃料已经成为全球减少绿色家用气体排放的主要努力。太阳光是一种广泛使用的可再生能源,光伏发电(PV)是一种重要的发电技术,它将太阳光直接转化为电能。该研究项目将为太阳能转换技术提供性能改进的半导体材料。这些材料将由无机和有机成分组成,两者的混合将导致许多增强的功能。通过修改它们的结构和组成,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。该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独特的机会,直接参与能源研究,并作为PI参与罗格斯大学几个校园和大学范围的中心和项目的结果,如先进材料,设备和纳米技术研究所(IAMDN),能源研究计划(ERI),两个NSF资助的跨学科研究生教育和研究培训(IGERT)计划,工程研究中心(ERC),更一般的培训和教育将提供给学生支持下,这项赠款。
英文摘要
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.
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CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
  • 批准号:
    2340171
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $53.27万
  • 财政年份:
    2024
  • 负责人:
    Jing Li
  • 依托单位:
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
  • 批准号:
    2200255
  • 项目类别:
    Standard Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2022
  • 负责人:
    Jing Li
  • 依托单位:
NSF-BSF: Collaborative Research: Market Conduct in Technology Adoption in the Automobile Industry
海外基金