Hybrid organic-inorganic metal-semiconductor nanoparticles for highly efficient solar cell concentrators

用于高效太阳能电池聚光器的混合有机-无机金属-半导体纳米粒子

基本信息

项目摘要

Research Objectives and ApproachesThe objective of this research is to investigate theoretically the down-conversion of light in hybrid organic-inorganic metal-semiconductor nanoparticles, containing organic chromophores attached to semiconductor nanocrystals with metallic structures. The approach is to use time-dependent density-functional theory and finite-difference time domain techniques, with main purpose to identify, engineer, and model highly efficient luminescent solar cell concentrators. Intellectual MeritThe intellectual merit is to understand thoroughly the physical mechanism of the down-conversion process in hybrid nanoparticles, which is essential for the optimal solar energy concentration. The reason for including metallic structures is to make use of the giant local electric field enhancement through plasmonic resonances of metallic nanostructures to increase the down conversion rate and therefore also the solar power gain.Broader ImpactsThe proposed activity will provide outreach programs through all educational levels, ranging from K-12 to undergraduate and graduate programs. For example, outreach to K-12 will be accomplished through regular participation at the Orlando Science Center. Being diverse will be a priority effort through encouraging women and underrepresented minority groups to participate in the proposed research and education programs.The goal of the proposed research activity is to at least triple the concentration efficiency of existing luminescent solar energy concentrators, thereby reducing the costs of photovoltaic cells significantly, which will encourage many more people to install photovoltaic systems in their own homes, making US less dependent on foreign oil and at the same time supporting the environment and nature through a clean energy source.
研究目的和方法本研究的目的是从理论上研究有机-无机金属-半导体纳米粒子的光下转换,该纳米粒子含有附着在具有金属结构的半导体纳米晶体上的有机发色团。该方法是使用时间相关的密度泛函理论和时域有限差分技术,主要目的是识别,工程师,和建模高效发光太阳能电池聚光器。智力价值智力价值是彻底理解混合纳米颗粒中下转换过程的物理机制,这对于最佳太阳能集中至关重要。包括金属结构的原因是通过金属纳米结构的等离子体共振来利用巨大的局部电场增强,以增加下转换率,从而也增加太阳能增益。更广泛的影响拟议的活动将通过所有教育水平提供推广计划,从K-12到本科和研究生课程。例如,将通过定期参加奥兰多科学中心的活动来实现对K-12的宣传。多样性将是一项优先努力,鼓励妇女和代表性不足的少数群体参与拟议的研究和教育计划。拟议的研究活动的目标是将现有发光太阳能集中器的集中效率至少提高两倍,从而大大降低光伏电池的成本,这将鼓励更多的人在自己的家中安装光伏系统,减少美国对外国石油的依赖,同时通过清洁能源支持环境和自然。

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 }}

Michael Leuenberger其他文献

Geospatial approach for defining the Wildland-Urban Interface in the Alpine environment
定义高山环境中荒地-城市界面的地理空间方法
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Conedera;M. Tonini;L. Oleggini;C. V. Orozco;Michael Leuenberger;G. Pezzatti
  • 通讯作者:
    G. Pezzatti
Mapping of Estimations and Prediction Intervals Using Extreme Learning Machines
使用极限学习机绘制估计和预测区间
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael Leuenberger;M. Kanevski
  • 通讯作者:
    M. Kanevski
Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine
模拟退火与极限学习机相结合的环境数据挖掘中的特征选择
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael Leuenberger;M. Kanevski
  • 通讯作者:
    M. Kanevski

Michael Leuenberger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('Michael Leuenberger', 18)}}的其他基金

SHF: Medium: Collaborative Research: Atomic scale to circuit modeling of emerging nanoelectronic devices and adapting them to SPICE simulation package
SHF:中:协作研究:新兴纳米电子器件的原子尺度电路建模并使它们适应 SPICE 仿真包
  • 批准号:
    1514089
  • 财政年份:
    2015
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Standard Grant
QMHP: Quantum-field theoretical modeling and simulation of many-body entanglement of excitons and photons in semiconductor structures
QMHP:半导体结构中激子和光子多体纠缠的量子场理论建模和模拟
  • 批准号:
    0901784
  • 财政年份:
    2009
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Standard Grant

相似国自然基金

低纬度边缘海颗粒有机碳的卫星遥感算法研究
  • 批准号:
    41076114
  • 批准年份:
    2010
  • 资助金额:
    54.0 万元
  • 项目类别:
    面上项目
基于活性炭孔径调控和表面修饰改性的水中低浓度有机污染物优化去除适配机制
  • 批准号:
    50878204
  • 批准年份:
    2008
  • 资助金额:
    37.0 万元
  • 项目类别:
    面上项目
TB方法在有机和生物大分子体系计算研究中的应用
  • 批准号:
    20773047
  • 批准年份:
    2007
  • 资助金额:
    26.0 万元
  • 项目类别:
    面上项目

相似海外基金

CAREER: Liquid Crystal-Templated Sequential Infiltration Synthesis of Hybrid Organic/Inorganic Materials with Multidimensional Chiral Structures
职业:具有多维手性结构的有机/无机杂化材料的液晶模板连续渗透合成
  • 批准号:
    2337740
  • 财政年份:
    2024
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Continuing Grant
Unravelling the Abnormal Thermo-Mechanical Behavior of 2D Hybrid Organic-Inorganic Perovskites
揭示二维杂化有机-无机钙钛矿的异常热机械行为
  • 批准号:
    2311573
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Standard Grant
Synthesis and catalytic application of organic-inorganic hybrid metallosilicate nanosheets
有机-无机杂化金属硅酸盐纳米片的合成及催化应用
  • 批准号:
    23H01764
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Synthesis and Characterization of Novel Organic-Inorganic Hybrid Perovskites Focusing on Pseudohalide Anion
以赝卤化物阴离子为中心的新型有机-无机杂化钙钛矿的合成与表征
  • 批准号:
    22KJ1328
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Development of novel liquid scintillators using organic-inorganic hybrid materials
使用有机-无机杂化材料开发新型液体闪烁体
  • 批准号:
    22KJ0291
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Collaborative Research: DMREF: Data-Driven Prediction of Hybrid Organic-Inorganic Structures
合作研究:DMREF:混合有机-无机结构的数据驱动预测
  • 批准号:
    2323547
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Continuing Grant
Collaborative Research: DMREF: Data-Driven Prediction of Hybrid Organic-Inorganic Structures
合作研究:DMREF:混合有机-无机结构的数据驱动预测
  • 批准号:
    2323548
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Continuing Grant
Collaborative Research: DMREF: Data-Driven Prediction of Hybrid Organic-Inorganic Structures
合作研究:DMREF:混合有机-无机结构的数据驱动预测
  • 批准号:
    2323546
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Continuing Grant
CAREER: Modulating Optoelectronic Properties and Functionality of Hybrid Organic-Inorganic Semiconductors by Controlling Lattice Strain with Molecular Interactions at Surfaces
职业:通过表面分子相互作用控制晶格应变来调节有机-无机杂化半导体的光电特性和功能
  • 批准号:
    2237211
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Continuing Grant
Inorganic Quantum Dot-Organic Hybrid Materials for Renewable Energy Technologies
用于可再生能源技术的无机量子点-有机杂化材料
  • 批准号:
    2885895
  • 财政年份:
    2023
  • 资助金额:
    $ 32.02万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了