课题基金 / 基金详情

CAREER: studying superconductivity and ferromagnetism in 2D material heterostructures with flat energy band

CAREER: studying superconductivity and ferromagnetism in 2D material heterostructures with flat energy band
职业:研究具有平坦能带的二维材料异质结构中的超导性和铁磁性
批准号:
2143384
负责人:
Jia Li
金额:
$70.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-02-15 至 2027-01-31

项目摘要

项目成果

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中文摘要
翻译
非技术描述:二维(2D)材料是由单层原子制成的材料。不同的2D材料可以组装成设计师的结构,以实现新的特性和新的现象,如超导性和磁性。该项目利用二维结构的特殊设计来研究电子相互作用如何影响量子机制中这些新现象的稳定性,例如超导性和磁性。在纳米尺度上研究这些现象是量子科学进步的核心,有望重塑技术创新的本质,并对国家安全和全球经济平衡产生深远影响。通过培训研究生和本科生在纳米尺度上的设备制造,并让他们接触到研究量子现象的前沿研究,这项研究和推广计划激励和教育未来的科学家和工程师,他们可以在量子计算技术领域发挥领导作用并开拓创新。推广工作包括与Sci-Toon团队合作制作卡通视频,让公众了解研究活动。该项目由材料研究部(DMR)和刺激竞争力研究的既定计划(EPSCoR)共同资助。技术描述:石墨烯莫尔系统提供了一个迷人的材料平台来研究量子现象,如超导性和铁磁性,并研究它们在2D约束中的相互作用。该项目利用特殊设计的2D材料异质结构,通常被称为双层结构,对各种莫尔系统进行库仑屏蔽和热力学测量。主要目的是了解库仑关联在稳定超导相和铁磁相中的作用。库仑相互作用的作用为理解超导相的配对机制和序参量对称性提供了重要的约束,这已经成为一个悬而未决的问题。该项目还利用邻近效应探索了一种新的莫尔物理学,这种效应可以改变2D莫尔系统的基态顺序。通过筛选控制库仑相互作用的强度,所提出的努力直接研究邻近效应的影响,旨在建立一种新的方法来设计二维材料结构的物理特性。该项目由材料研究部(DMR)和促进竞争研究的既定计划(EPSCoR)共同资助。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
NON-TECHNICAL DESCRIPTION: Two-dimensional (2D) materials are materials made from single layers of atoms. Different 2D materials can be assembled into a designer structure to realize new properties and novel phenomena such as superconductivity and magnetism. This project utilizes a special design of 2D structure to study how electronic interaction can influence the stability of these novel phenomena, such as superconductivity and magnetism, in the quantum regime. Studying these phenomena on the nanometer scale is central to the advancement of quantum science, which promises to reshape the nature of technological innovation and has profound influence on national security and global economic balance. By training graduate and undergraduate students in device fabrication on a nanometer scale and exposing them to cutting edge research in studying quantum phenomena, this research and outreach program inspires and educates future scientists and engineers who can take on the leadership role and pioneer innovations in the field of quantum computational technology. The outreach effort includes collaboration with the Sci-Toon team to produce cartoon videos to expose the general public to the research activities. This project is jointly funded by the Division of Materials Research (DMR) and the Established Program to Stimulate Competitive Research (EPSCoR).TECHNICAL DESCRIPTION: Graphene moiré systems provides a fascinating material platform to study quantum phenomena, such as superconductivity and ferromagnetism, and investigate their interplay in a 2D confinement. This project utilizes specially designed 2D material heterostructure, which is usually referred to as the double-layer structure, to perform Coulomb screening and thermodynamic measurements on various moiré systems. A main objective is to understand the role of Coulomb correlation in stabilizing the superconducting and ferromagnetic phases. The role of Coulomb interaction offers important constraints to understand the pairing mechanism and order parameter symmetry of the superconducting phase, which has become an outstanding open question. This project also explores a new flavor of moiré physics using the proximity effect, which are shown to transform the ground state order of 2D moiré systems. By controlling the strength of Coulomb interaction through screening, the proposed effort directly studies the influence of the proximity effect and aims to establish a new method to engineer physical properties of 2D material structures. This project is jointly funded by the Division of Materials Research (DMR) and the Established Program to Stimulate Competitive Research (EPSCoR).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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1038/s41567-023-02060-0
发表时间: 2022-06
期刊: Nature Physics
影响因子: 19.6
作者: [E. Morissette;Jiangxiazi Lin;Song Liu;D. Rhodes;K. Watanabe;T. Taniguchi;J. Hone;M. Scheurer-]
通讯作者: E. Morissette;Jiangxiazi Lin;Song Liu;D. Rhodes;K. Watanabe;T. Taniguchi;J. Hone;M. Scheurer-
DOI: 10.1038/s41567-022-01700-1
发表时间: 2022-08-15
期刊: NATURE PHYSICS
影响因子: 19.6
作者: [Lin, Jiang-Xiazi, Siriviboon, Phum, Li, J. I. A.]
通讯作者: Li, J. I. A.
RII Track-4:NSF: Resistively-Detected Electron Spin Resonance in Multilayer Graphene
  • 批准号:
    2327206
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2024
  • 负责人:
    Jia Li
  • 依托单位:
CIF: Small: Interpretable Machine Learning based on Deep Neural Networks: A Source Coding Perspective
Cluster Analysis for High-Dimensional and Multi-Source Data
EAGER-DynamicData: Generative Statistical Modeling for Dynamic and Distributed Data
海外基金