MRI: Development of A Magneto-Optical Spectroscopy System for Investigation of Spintronic and Quantum Materials

MRI：开发用于研究自旋电子和量子材料的磁光光谱系统

• 批准号: 2019130
• 负责人: Xiaoqin Li
• 金额: $ 64.25万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019130&HistoricalAwards=false
• 关键词: MRI; Development; Magneto; Optical; Spectroscopy

Nontechnical Description:Many technological breakthroughs are enabled by the discovery of new materials. Once new materials are synthesized, their new properties and potential applications are revealed via careful and advanced characterization measurements. This project funds the development of a unique optical characterization instrument to study a wide range of quantum materials and magnetic materials. The instrument enables multiple types of measurements of light-matter interaction at the same area of samples placed in a magnetic field and at low temperatures. Both linear light-matter interactions and nonlinear interactions, when two light photons are combined to a single photon, are studied. Researchers use the instrument to investigate atomically thin materials, with the thickness of the layers or films only one atom or a few atoms, and materials with a large number of tiny magnets in them. These materials could potentially be used to build memory devices for storing a large amount of data in the information age of the future. In addition to building the instrument in an experimental facility, the team develops courses and training materials for students and users. These students will become the future workforce in the scientific and technological sectors and contribute to building a globally competitive economy.Technical Description:The team develops a magneto-optical spectroscopy system to promote and advance studies of spintronic and quantum materials in the state of Texas and beyond. The key instrument includes (i) a closed-cycle magneto-optical cryostat; (ii) high-resolution spectrometers for inelastic light scattering (Raman and Brillouin scattering) as well as magneto-optical Kerr effect and second harmonic generation; (iii) a custom-made sample handling system so that one can change samples without warming up the cryostat to improve the efficiency of the operation. The instrument facilitates the discoveries and fundamental understanding of magnetic and quantum materials. Examples of materials to be investigated include van der Waals heterostructures consisting of transition metal dichalcogenides, topological materials with long-range magnetic order and superconductors. By performing several spectroscopy measurements on the same sample, one may gain comprehensive information that is difficult to obtain otherwise. The fundamental understanding of spintronic and quantum materials will have a broad impact on information storage and processing technologies.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.

非技术描述：发现新材料的许多技术突破是实现的。一旦合成了新材料，它们的新属性和潜在应用就会通过仔细的高级表征测量揭示。该项目资助了独特的光学特征仪器的开发，用于研究各种量子材料和磁性材料。该仪器可以在放置在磁场和低温下的同一样品区域处的光 - 物质相互作用的多种类型的测量。当研究两个光光子与单个光子组合时，线性光 - 物质相互作用和非线性相互作用均已研究。研究人员使用该仪器来研究原子薄的材料，层或膜的厚度仅是一个原子或几个原子，以及其中的材料中的材料中含有大量微小磁体。这些材料有可能用于构建存储设备，以在未来的信息时代存储大量数据。除了在实验设施中构建乐器外，团队还为学生和用户开发了课程和培训材料。这些学生将成为科学和技术部门的未来劳动力，并有助于建立全球竞争激烈的经济。技术描述：该团队开发了一种磁光光谱系统，以促进和推进德克萨斯州及以后的Spintronic和量子材料的研究。关键仪器包括（i）闭合的磁磁性低温恒温器； （ii）用于非弹性光散射（拉曼和布里渊散射）以及磁光kerr效应和第二次谐波产生的高分辨率光谱仪； （iii）定制的样品处理系统，以便可以更改样品而无需加热低温恒温器以提高操作的效率。该仪器促进了对磁性和量子材料的发现和基本理解。要研究的材料的示例包括范德华的异质结构，这些异质结构由过渡金属二进制基因生成元素，具有远距离磁性的拓扑材料和超导体。通过对同一样本进行多个光谱测量，可以获得否则难以获得的全面信息。对自旋和量子材料的基本理解将对信息存储和处理技术产生广泛的影响。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来提供支持。

项目成果

Anisotropic Excitons Reveal Local Spin Chain Directions in a van der Waals Antiferromagnet

• DOI: 10.1002/adma.202206585
• 发表时间: 2023-02
• 期刊: Advanced Materials
• 影响因子: 29.4
• 作者: Dong Seob Kim;Di Huang;Chunhao Guo;Kejun Li;D. Rocca;Frank Y. Gao;Jeongheon Choe;David Lujan;Ting-Hsuan Wu;Kung‐Hsuan Lin;E. Baldini;Li Yang;Shivani Sharma;R. Kalaivanan;R. Sankar;Shang-Fan Lee;Y. Ping;Xiaoqin Li