Quantum State Resolved Spectroscopy of Excitonic and Multi-Excitonic Dynamics in Quantum Confined Nanostructures and Heterojunctions
量子约束纳米结构和异质结中激子和多激子动力学的量子态分辨光谱
基本信息
- 批准号:1206451
- 负责人:
- 金额:$ 46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-01 至 2015-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
TECHNICAL SUMMARYMultiresonant Coherent Multidimensional Spectroscopy (CMDS) is a new and potentially transformative approach for characterizing complex nanostructures. It is based on using multiple tunable laser beams to excite different quantum states to form multiple quantum coherences (MQCs) that re-emit output beams during the time the MQCs retain their quantum mechanical phase coherence. This program, supported by the NSF Solid State and Materials Chemistry Program, uses the resonances with the quantum states to create multidimensional signatures of the individual substructures within complex nanostructures. It isolates the individual coherence pathways that contribute to the output intensity and uses these pathways to obtain the coherent and incoherent dynamics with quantum state resolution. The coherent dynamics includes both dephasing interactions and coherence transfer and the incoherent dynamics includes charge transfer and population relaxation. The program is particularly interested in developing methods for quantum state resolution of the charge transfer dynamics between donor-acceptor substructures within larger nanostructures. The quantum states of interest include the quantum confined excitonic and multiexcitonic states of the substructures as well as surface states. The multidimensional spectra and the coherent and incoherent dynamics of the multiexcitonic states identify the mechanisms responsible for multiexciton generation (MEG). Higher order wave mixing probes the potential energy surface of different energetic excitons. Alternative CMDS methodologies include 3-color pathways and multiplex detection. The nanostructures used in this program are simple, well-characterized model systems that represent the different quantum confined substructures and morphologies that are of interest in developing new nanotechnologies. NON-TECHNICAL SUMMARYProviding the energy required for the future is an enormous challenge that requires new technologies that efficiently harvest solar energy and turn it into the electrical power and solar fuels needed for growing economies. Nanotechnology is a promising direction for providing this capability because the quantum effects that occur at small dimensions provide opportunities for engineering complex nanostructures that are efficient and robust solar converters. The small size of these nanostructures dictates the creation of new technologies that can access the individual quantum states within the individual substructures and follow the flow of energy from the initial absorption of light to the final conversion into electricity or solar fuels. The laser methods developed in this program will provide these capabilities. Not only will this methodology define the fundamental scientific principles controlling how the energy is harvested and used but it will be disseminated to the wider scientific community through web site tutorials, scientific conferences and public lectures, on-line course materials, and the training of undergraduate and graduate students. The dissemination will be transformative because this new methodology provides deeper insights into how materials function and can address questions that cannot be answered by current technologies.
多共振相干多维光谱(CMDS)是一种新的和潜在的变革性的方法,用于表征复杂的纳米结构。它基于使用多个可调谐激光束来激发不同的量子态以形成多个量子相干器(MQCs),所述多个量子相干器(MQCs)在MQCs保持其量子力学相位相干性的时间期间重新发射输出光束。该计划由NSF固态和材料化学计划支持,使用量子态的共振来创建复杂纳米结构中各个子结构的多维签名。它隔离了对输出强度有贡献的各个相干路径,并使用这些路径来获得具有量子态分辨率的相干和非相干动力学。相干动力学包括退相相互作用和相干转移,非相干动力学包括电荷转移和布居弛豫。该计划特别感兴趣的是在较大的纳米结构内的供体-受体子结构之间的电荷转移动力学的量子态分辨率的开发方法。感兴趣的量子态包括子结构的量子限制激子和多激子态以及表面态。多维光谱和多激子态的相干和非相干动力学确定负责多激子产生(MEG)的机制。高阶波混频探测不同能量激子的势能面。替代CMDS方法包括3色途径和多重检测。在这个程序中使用的纳米结构是简单的,表征良好的模型系统,代表不同的量子限制的子结构和形态,在开发新的纳米技术的兴趣。提供未来所需的能源是一个巨大的挑战,需要新的技术来有效地收集太阳能,并将其转化为经济增长所需的电力和太阳能燃料。纳米技术是提供这种能力的一个有前途的方向,因为在小尺寸下发生的量子效应为工程复杂的纳米结构提供了机会,这些纳米结构是高效和坚固的太阳能转换器。这些纳米结构的小尺寸决定了新技术的创造,这些新技术可以访问各个子结构中的各个量子态,并跟踪从光的初始吸收到最终转化为电力或太阳能燃料的能量流动。本计划中开发的激光方法将提供这些功能。这一方法不仅将确定控制如何收集和使用能源的基本科学原则,而且将通过网站教程、科学会议和公开讲座、在线课程材料以及本科生和研究生的培训,向更广泛的科学界传播。传播将是变革性的,因为这种新方法提供了对材料功能的更深入见解,并可以解决当前技术无法回答的问题。
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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John Wright其他文献
Self-reported maternal parenting style and confidence and infant temperament in a multi-ethnic community
多种族社区中母亲自我报告的养育方式、信心和婴儿气质
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:1.9
- 作者:
S. Prady;K. Kiernan;L. Fairley;Sarah L Wilson;John Wright - 通讯作者:
John Wright
Influence of affect on cognitive social learning person variables.
情感对认知社会学习人变量的影响。
- DOI:
- 发表时间:
1982 - 期刊:
- 影响因子:0
- 作者:
John Wright;W. Mischel - 通讯作者:
W. Mischel
A one-query lower bound for unitary synthesis and breaking quantum cryptography
单一综合和破解量子密码学的单查询下界
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Alex Lombardi;Fermi Ma;John Wright - 通讯作者:
John Wright
Consistency and complexity of response sequences as a function of schedules of noncontingent reward.
响应序列的一致性和复杂性作为非偶然奖励计划的函数。
- DOI:
- 发表时间:
1962 - 期刊:
- 影响因子:0
- 作者:
John Wright - 通讯作者:
John Wright
Better information for better health
- DOI:
10.1108/cgij.2008.24813daa.001 - 发表时间:
2008-10 - 期刊:
- 影响因子:0
- 作者:
John Wright - 通讯作者:
John Wright
John Wright的其他文献
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{{ truncateString('John Wright', 18)}}的其他基金
Career: The Complexity pf Quantum Tasks
职业:量子任务的复杂性
- 批准号:
2339711 - 财政年份:2024
- 资助金额:
$ 46万 - 项目类别:
Continuing Grant
Chemical Applications of Floquet State Spectroscopy
Floquet态光谱的化学应用
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2203290 - 财政年份:2022
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$ 46万 - 项目类别:
Continuing Grant
ActEarly: a City Collaboratory approach to early promotion of good health and wellbeing
ActEarly:早期促进良好健康和福祉的城市合作方法
- 批准号:
MR/S037527/1 - 财政年份:2019
- 资助金额:
$ 46万 - 项目类别:
Research Grant
ActEarly: a City Collaboratory approach to early promotion of good health and wellbeing
ActEarly:早期促进良好健康和福祉的城市合作方法
- 批准号:
MC_PC_18002 - 财政年份:2018
- 资助金额:
$ 46万 - 项目类别:
Intramural
AITF: Learning and Adapting Sparse Recovery Algorithms for RF Spectrum Sensing
AITF:学习和适应射频频谱传感的稀疏恢复算法
- 批准号:
1733857 - 财政年份:2017
- 资助金额:
$ 46万 - 项目类别:
Standard Grant
TRIPODS: From Foundations to Practice of Data Science and Back
TRIPODS:从数据科学的基础到实践再回来
- 批准号:
1740833 - 财政年份:2017
- 资助金额:
$ 46万 - 项目类别:
Continuing Grant
Coherent Multidimensional Spectroscopy of the Oxygen Evolving Complex in Photosystem II
光系统 II 中放氧复合物的相干多维光谱
- 批准号:
1709060 - 财政年份:2017
- 资助金额:
$ 46万 - 项目类别:
Continuing Grant
BIGDATA: F: IA: Robust Convolutional Modeling for Massive-Scale Electron Microscopy Data
BIGDATA:F:IA:大规模电子显微镜数据的鲁棒卷积建模
- 批准号:
1546411 - 财政年份:2015
- 资助金额:
$ 46万 - 项目类别:
Standard Grant
CIF: Small: Structured Signal Modeling via Nonconvex Optimization
CIF:小:通过非凸优化进行结构化信号建模
- 批准号:
1527809 - 财政年份:2015
- 资助金额:
$ 46万 - 项目类别:
Standard Grant
Coherent Multidimensional Spectroscopy of the Oxygen Evolving Complex in Photosystem II
光系统 II 中放氧复合物的相干多维光谱
- 批准号:
1410510 - 财政年份:2014
- 资助金额:
$ 46万 - 项目类别:
Standard Grant
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