Collaborative Research: Chemical Control of Polymer/PbS Blends for PV Applications
合作研究:光伏应用聚合物/PbS 混合物的化学控制
基本信息
- 批准号:1437636
- 负责人:
- 金额:$ 10.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-10-01 至 2017-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Proposals in Collaborative:PI Names: Moule (Lead)Proposal No: 1436273Institution: University of California, Davis PI Name: GanapathysubramanianProposal No:1437636 Institution: Iowa State UniversityPI Name: Ginger Proposal No: 1437016 Institution: University of WashingtonThe sun represents the most abundant potential source of pollution-free energy on earth. Solar cells for conversion of light to electricity based on organic polymers integrated into a photovoltaic (PV) device offer a potentially low-cost route for renewable electricity production if the solar energy conversion efficiency can be improved. The key to improving the efficiency of organic polymer based solar cells is to better understand the molecular arrangement of the materials within the polymer film. This project will apply novel electron microscopy tools to understand how materials processing affects the three-dimensional arrangement of materials in polymer/nanoparticle films designed for photovoltaic (PV) applications. Mixtures of low-cost lead sulfide (PbS) nanoparticles with electrically conducting polymers will be studied because these mixtures have shown recent high photovoltaic efficiency, and because these materials have high imaging contrast by electron microscopy. The electron tomography will generate three dimensional concentration maps of materials within the mixture. These maps will be used to correlate processing conditions to material arrangement within the polymer/nanoparticle film. This information will then be correlated to device performance in order to identify strategies for making better solar cells based on organic polymers. The work will be carried out by a collaborative team that will simultaneously advance the science of polymer/nanoparticle film fabrication, three dimensional electron microscope imaging, and computational analysis of the images to reveal nanoscale structure. This collaborative approach has the potential uncover the structural origin of optical and electronic properties that cannot be measured by any other technique. With respect to education and activities for broadening participation, the project will provide a diverse set of outreach and educational opportunities that include interaction with children through the Boys and Girls Scouts and 4H, public education at well attended local festivals, inclusion of research material in classes, and retention of female engineering students. Technical Description This project will develop and use new electron tomography tools to understand how materials processing affects the three-dimensional arrangement of materials in hybrid polymer/nanoparticle films designed for photovoltaic (PV) applications. Mixtures of low-cost lead sulfide (PbS) nanoparticles with electrically conducting polymers will be studied because these mixtures have shown recent high photovoltaic efficiency, and because these materials have high imaging contrast by electron microscopy. The electron microscopy tool is based on high-angle annular dark-field scanning electron tomography (HAADF-ET) combined with the discrete algebraic reconstruction technique (DART) to generate three-dimensional (3D) material concentration maps with resolution of less than three cubic nanometers for the hybrid organic/inorganic photovoltaic materials. Development of morphology descriptors of the 3D data, including features like the number of phases, concentration ratio in each phase, domain size, domain connectivity, tortuosity of pathways, anisotropy and domain surface area will be measured using graph-based analysis. This information will be used to correlate morphology, structural heterogeneity, and physical distribution of recombination sites in mixed organic/inorganic electronic films to optoelectronic properties and photovoltaic performance. With respect to education and activities for broadening participation, the project will provide a diverse set of outreach and educational opportunities that include interaction with children through the Boys and Girls Scouts and 4H, public education at well attended local festivals, inclusion of research material in classes, and retention of female engineering students.
合作提案:PI 名称:Moule(Lead)提案编号:1436273 机构:加州大学戴维斯分校 PI 姓名:Ganapathysubramanian 提案编号:1437636 机构:爱荷华州立大学 PI 名称:Ginger 提案编号:1437016 机构:华盛顿大学太阳代表着最丰富的资源地球上潜在的无污染能源。如果太阳能转换效率能够提高,基于集成到光伏(PV)设备中的有机聚合物的用于将光转化为电能的太阳能电池为可再生电力生产提供了潜在的低成本途径。提高有机聚合物太阳能电池效率的关键是更好地了解聚合物薄膜内材料的分子排列。该项目将应用新型电子显微镜工具来了解材料加工如何影响专为光伏(PV)应用而设计的聚合物/纳米颗粒薄膜中材料的三维排列。将研究低成本硫化铅(PbS)纳米粒子与导电聚合物的混合物,因为这些混合物最近显示出高光伏效率,并且因为这些材料在电子显微镜下具有高成像对比度。电子断层扫描将生成混合物内材料的三维浓度图。这些图将用于将加工条件与聚合物/纳米颗粒薄膜内的材料排列相关联。然后,这些信息将与器件性能相关联,以便确定制造基于有机聚合物的更好太阳能电池的策略。这项工作将由一个协作团队进行,该团队将同时推进聚合物/纳米颗粒薄膜制造、三维电子显微镜成像以及图像计算分析以揭示纳米级结构的科学。这种协作方法有可能揭示任何其他技术无法测量的光学和电子特性的结构起源。在扩大参与的教育和活动方面,该项目将提供一系列多样化的外展和教育机会,包括通过男童子军和女童子军以及 4H 与儿童互动、在当地节日中进行公共教育、在课堂上纳入研究材料,以及女工科学生的保留率。技术描述 该项目将开发和使用新的电子断层扫描工具来了解材料加工如何影响专为光伏(PV)应用而设计的混合聚合物/纳米颗粒薄膜中材料的三维排列。将研究低成本硫化铅(PbS)纳米粒子与导电聚合物的混合物,因为这些混合物最近显示出高光伏效率,并且因为这些材料在电子显微镜下具有高成像对比度。该电子显微镜工具基于高角度环形暗场扫描电子断层扫描(HAADF-ET)并结合离散代数重建技术(DART),可生成分辨率小于三立方的三维(3D)物质浓度图纳米级有机/无机杂化光伏材料。 3D 数据的形态描述符的开发,包括相数、每个相的浓度比、域大小、域连通性、路径的弯曲度、各向异性和域表面积等特征,将使用基于图形的分析进行测量。该信息将用于将混合有机/无机电子薄膜中复合位点的形态、结构异质性和物理分布与光电特性和光伏性能相关联。在扩大参与的教育和活动方面,该项目将提供一系列多样化的外展和教育机会,包括通过男童子军和女童子军以及 4H 与儿童互动、在当地节日中进行公共教育、在课堂上纳入研究材料,以及女工科学生的保留率。
项目成果
期刊论文数量(0)
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专利数量(0)
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Baskar Ganapathysubramanian其他文献
Out-of-plane faradaic ion concentration polarization: stable focusing of charged analytes at a three-dimensional porous electrode
- DOI:
10.1039/d1lc01011e - 发表时间:
2022-01 - 期刊:
- 影响因子:6.1
- 作者:
Beatrise Berzina;Sungu Kim;Umesha Peramune;Kumar Saurabh;Baskar Ganapathysubramanian;Robbyn K. Anand - 通讯作者:
Robbyn K. Anand
Simulation-guided analysis of resonant soft X-ray scattering for determining the microstructure of triblock copolymers
- DOI:
10.1039/d2me00096b - 发表时间:
2022-08 - 期刊:
- 影响因子:3.6
- 作者:
Veronica G. Reynolds;Devon H. Callan;Kumar Saurabh;Elizabeth A. Murphy;Kaitlin R. Albanese;Yan-Qiao Chen;Claire Wu;Eliot Gann;Craig J. Hawker;Baskar Ganapathysubramanian;Christopher M. Bates;Michael L. Chabinyc - 通讯作者:
Michael L. Chabinyc
Micropillar sequence designs for fundamental inertial flow transformations
- DOI:
10.1039/c4lc00653d - 发表时间:
2014-07 - 期刊:
- 影响因子:6.1
- 作者:
Daniel Stoecklein;Chueh-Yu Wu;Keegan Owsley;Yu Xie;Dino Di Carlo;Baskar Ganapathysubramanian - 通讯作者:
Baskar Ganapathysubramanian
FlowSculpt: software for efficient design of inertial flow sculpting devices
- DOI:
10.1039/c9lc00658c - 发表时间:
2019-08 - 期刊:
- 影响因子:6.1
- 作者:
Daniel Stoecklein;Michael Davies;Joseph Michael de Rutte;Chueh-Yu Wu;Dino Di Carlo;Baskar Ganapathysubramanian - 通讯作者:
Baskar Ganapathysubramanian
HOMEs for plants and microbes – a phenotyping approach with quantitative control of signaling between organisms and their individual environments
- DOI:
10.1039/c7lc01186e - 发表时间:
2018-01 - 期刊:
- 影响因子:6.1
- 作者:
Oskar Siemianowski;Kara R. Lind;Xinchun Tian;Matt Cain;Songzhe Xu;Baskar Ganapathysubramanian;Ludovico Cademartiri - 通讯作者:
Ludovico Cademartiri
Baskar Ganapathysubramanian的其他文献
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{{ truncateString('Baskar Ganapathysubramanian', 18)}}的其他基金
LEAP-HI: AI-Optimized 3D Printing of Super-Soft Materials for Personalized Sensing
LEAP-HI:人工智能优化的超软材料 3D 打印,实现个性化传感
- 批准号:
2053760 - 财政年份:2021
- 资助金额:
$ 10.33万 - 项目类别:
Standard Grant
Collaborative Research: QRM: Microstructure Manifold Analysis Using Hierarchical Set of Morphological, Topological, and Process Descriptors
合作研究:QRM:使用形态、拓扑和过程描述符的分层集进行微观结构流形分析
- 批准号:
1906194 - 财政年份:2019
- 资助金额:
$ 10.33万 - 项目类别:
Standard Grant
Collaborative Research: Solution Processing of Organic Semiconductors: A Coupled Atomistic-Continuum Framework
合作研究:有机半导体的溶液处理:耦合原子连续体框架
- 批准号:
1563359 - 财政年份:2016
- 资助金额:
$ 10.33万 - 项目类别:
Standard Grant
DMREF/Collaborative Research: Controlling Hierarchical Nanostructures in Conjugated Polymers
DMREF/合作研究:控制共轭聚合物中的分层纳米结构
- 批准号:
1435587 - 财政年份:2014
- 资助金额:
$ 10.33万 - 项目类别:
Standard Grant
Collaborative Research: CDS&E: Sculpting fluid flow using a programmed sequence of micro-pillars
合作研究:CDS
- 批准号:
1306866 - 财政年份:2013
- 资助金额:
$ 10.33万 - 项目类别:
Standard Grant
CAREER: A Predictive Modeling Framework for Exploring Process-Structure-Property Relationships in Organic Solar Cells
职业生涯:用于探索有机太阳能电池工艺-结构-性能关系的预测建模框架
- 批准号:
1149365 - 财政年份:2012
- 资助金额:
$ 10.33万 - 项目类别:
Standard Grant
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