Excellence in Research: Development of High Resolution Coherent 2D Rovibrational Spectroscopy

卓越的研究：高分辨率相干二维旋转振动光谱的开发

基本信息

批准号：
1832098
负责人：
Peter Chen
金额：
$ 49.99万
依托单位：
Spelman College
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832098&HistoricalAwards=false
关键词：
Excellence Research Development Resolution Coherent

项目摘要

Professor Peter Chen's research team at Spelman College is developing a new high resolution spectroscopic technique to study molecules in gaseous mixtures in real time. The new spectroscopic method Professor Chen works on monitors very small signal shifts caused by the change in a gas mixture. It could be useful in many different areas, such as studying combustion systems, materials synthesis processes, and catalysis. The resulting information could be used to discover and identify new species produced during chemical reactions and provide information needed to understand reaction mechanisms. Consequently, it can lead to improved ways to reduce pollution, improve efficiency, and lower costs for manufacturing, automobile transportation, energy production, etc. Professor Chen works closely with a group of undergraduate students at Spelman College and prepares them for graduate studies in the STEM fields. He in particular encourages African American women students in research by providing them with a stimulating, cutting-edge undergraduate research experience.The technique that is being developed is based upon a new high resolution form of coherent multidimensional spectroscopy that uses rovibrational resonances and nonparametric four wave mixing processes. The shift from electronic enhancements to vibrational enhancements makes it easier to detect all species present in the sample. Advantages for using new nonparametric techniques are explored. New methods are also being developed that use the resulting multidimensional patterns to distinguish among signals from different species while also providing information on their structures. Professor Chen has established a strong record of recruiting and involving undergraduate students, many from underrepresented minority groups, on his project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Spelman College教授的彼得·陈（Peter Chen）研究团队正在开发一种新的高分辨率光谱技术，以实时研究气态混合物的分子。新的光谱法教授陈在监视器上工作，这是由于气体混合物的变化而引起的非常小的信号偏移。它在许多不同的领域可能很有用，例如研究燃烧系统，材料合成过程和催化。所得信息可用于发现和鉴定化学反应期间产生的新物种，并提供了解反应机制所需的信息。因此，它可以改善降低污染，提高效率并降低制造业，汽车运输，能源生产等成本的方法。Chen教授与Spelman College的一群本科生紧密合作，并为他们准备研究生，并为他们准备研究生学习。茎场。他特别鼓励非裔美国女学生通过为她们提供刺激性的，最先进的本科研究经验来鼓励她们。混合过程。从电子增强到振动增强功能的转变使检测样品中存在的所有物种变得更加容易。探索了使用新的非参数技术的优势。还开发了新的方法，该方法使用由此产生的多维模式来区分不同物种的信号，同时还提供有关其结构的信息。陈教授在其项目上建立了良好的招聘和涉及本科生的记录，其中许多人来自代表性不足的少数群体。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准通过评估来获得支持的。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

High resolution two-dimensional infrared (HR-2DIR) spectroscopy of gas phase molecules

气相分子的高分辨率二维红外 (HR-2DIR) 光谱

DOI：
10.1063/5.0109084
发表时间：
2022
期刊：
The Journal of Chemical Physics
影响因子：
0
作者：
Daniels, DeAunna A.;Wells, Thresa A.;Chen, Peter C.
通讯作者：
Chen, Peter C.

Multidimensional Pattern Recognition in High-Resolution 2D and 3D Spectra of Gas-Phase Molecules

气相分子高分辨率 2D 和 3D 光谱中的多维模式识别

DOI：
10.1021/acs.accounts.2c00637
发表时间：
2023
期刊：
Accounts of Chemical Research
影响因子：
18.3
作者：
Chen, Peter C.
通讯作者：
Chen, Peter C.

Proof and Use of the Method of Combination Differences for Analyzing High-Resolution Coherent Multidimensional Spectra

高分辨率相干多维光谱分析组合差分法的证明与应用

DOI：
10.3390/math8010044
发表时间：
2020
期刊：
Mathematics
影响因子：
2.4
作者：
Chen, Peter C.;Ehme, Jeffrey
通讯作者：
Ehme, Jeffrey

Two-dimensional pattern recognition methods for rapidly recording and interpreting high resolution coherent three-dimensional spectra

快速记录和解释高分辨率相干三维光谱的二维模式识别方法

DOI：
10.1063/5.0047926
发表时间：
2021
期刊：
The Journal of Chemical Physics
影响因子：
0
作者：
Wells, Thresa A.;Kwizera, Muhire H.;Chen, Sarah M.;Jemal, Nihal;Brown, Morgan D.;Chen, Peter C.
通讯作者：
Chen, Peter C.