CAREER: Correlated Superconductors under Extreme Conditions

职业：极端​​条件下的相关超导体

• 批准号: 2142801
• 负责人: Cheng-Chien Chen
• 金额: $ 45万
• 依托单位: University of Alabama at Birmingham
• 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
• 起止时间: 2022-02-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2142801&HistoricalAwards=false
• 关键词: CAREER; Correlated; Superconductors; under; Extreme

NONTECHNICAL SUMMARYThis CAREER award supports computational and theoretical research and education on modeling superconductors in which electrons interact with each other strongly or are subjected to extreme conditions such as intense light illumination and high pressure. Superconductivity is a quantum phenomenon that allows electricity to flow with zero resistance below some critical temperature. Superconductors have several existing applications such as magnetic resonance imaging devices, quantum computers, and magnetic levitation trains. However, broad-scale utilization of superconducting technology is currently limited, because most existing materials become superconducting at very low temperatures under normal conditions. Recent experiments have shown that critical temperatures of superconductors can be boosted under extreme conditions of exposure to intense lasers or ultrahigh pressures. However, the underlying mechanisms for these experimental observations have largely remained elusive. In this project, the PI will employ and develop advanced computational techniques to tackle the challenges associated with understanding the mechanisms of superconductivity under extreme conditions. The main research goal is to provide a fundamental theoretical understanding to guide experiments in characterizing and discovering new materials that become superconducting when exposed to intense light or high-pressures. The research will help expedite the modeling and discovery of new materials that become superconducting at higher temperatures, thus offering opportunities to revolutionize the industries of energy, transportation, and information technology.This award also supports various education and outreach activities. The PI will (i) train both undergraduate and graduate students in computational physics, data science, and materials science research, (ii) deliver corresponding interdisciplinary courses by integrating research with teaching, and (iii) broaden the participation of groups traditionally underrepresented in Science, Technology, Engineering, and Mathematics (STEM) disciplines and organize science summer camps for Birmingham high-school and community college students, in order to engage them at early stages towards STEM careers.TECHNICAL SUMMARYThis CAREER award supports research and education in theoretical and computational studies of correlated superconductors under extreme conditions. The materials to explore include unconventional superconductors like the cuprates and iron selenides, and conventional superconductors yet with substantial correlation physics manifest in the electronic structures. The PI will investigate phase diagrams and light-induced superconductivity of correlated Hamiltonians, such as the extended Hubbard and Hubbard-Holstein models. The objectives are to show that metastable superconducting phase at equilibrium can dominate at nonequilibrium, and that exotic pairing symmetry can be selectively enhanced by a tailored laser pump. The PI will also model the use of strain and pressure as tuning knobs to control topological superconductors. Furthermore, the PI will investigate whether correlation effects in rare-earth hydrides can potentially help achieve superconductors with high critical temperatures at reduced pressures. To tackle the challenges in studying the above systems, the PI will employ and develop advanced numerical techniques including large-scale exact diagonalization, first-principles evolutionary structure prediction, and novel data science approaches, such as dataflow computing, time series regression, and graph neural networks. The research activities will advance the understanding and control of correlated superconductors under nonequilibrium and strained environments, and help expedite the modeling and discovery of new superconductors with high critical temperatures.This award also supports various education and outreach activities. The PI will (i) train both undergraduate and graduate students in computational physics, data science, and materials science research, (ii) deliver corresponding interdisciplinary courses by integrating research with teaching, and (iii) broaden the participation of underrepresented STEM groups and organize science summer camps for Birmingham high-school and community college students, in order to engage them at early stages towards STEM careers.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.

这个职业奖支持超导体模型的计算和理论研究和教育，在超导体中，电子彼此强烈相互作用或受到极端条件，如强光照明和高压。超导是一种量子现象，它允许电流在某些临界温度下以零电阻流动。超导体有几个现有的应用，如磁共振成像设备、量子计算机和磁悬浮列车。然而，超导技术的大规模利用目前受到限制，因为大多数现有材料在正常条件下在很低的温度下就会变成超导。最近的实验表明，在暴露于强激光或超高压的极端条件下，超导体的临界温度可以提高。然而，这些实验观察的潜在机制在很大程度上仍然难以捉摸。在这个项目中，PI将采用和开发先进的计算技术来解决与理解极端条件下超导机制相关的挑战。主要的研究目标是提供一个基本的理论认识，以指导实验表征和发现当暴露在强光或高压下成为超导的新材料。这项研究将有助于加快在高温下成为超导的新材料的建模和发现，从而为能源、交通和信息技术行业的革命提供机会。该奖项还支持各种教育和外展活动。PI将(i)在计算物理、数据科学和材料科学研究方面培训本科生和研究生，（ii）通过将研究与教学相结合，提供相应的跨学科课程，（iii）扩大传统上在科学、技术、工程和数学（STEM）学科中代表性不足的群体的参与，并为伯明翰高中和社区大学的学生组织科学夏令营。以便让他们在STEM职业的早期阶段参与进来。该职业奖支持在极端条件下相关超导体的理论和计算研究方面的研究和教育。探索的材料包括铜酸盐和硒化铁等非常规超导体，以及在电子结构中表现出大量相关物理特性的常规超导体。PI将研究相图和光诱导的相关哈密顿量的超导性，例如扩展的哈伯德和哈伯德-霍尔斯坦模型。目的是证明平衡态的亚稳超导相可以在非平衡态中占主导地位，并且可以通过定制的激光泵选择性地增强奇异配对对称性。PI还将模拟使用应变和压力作为调谐旋钮来控制拓扑超导体。此外，PI将研究稀土氢化物中的相关效应是否可能有助于在减压条件下实现高温超导体。为了解决研究上述系统的挑战，PI将采用和开发先进的数值技术，包括大规模精确对角化，第一性原理进化结构预测，以及新的数据科学方法，如数据流计算，时间序列回归和图神经网络。这些研究活动将促进对非平衡和应变环境下相关超导体的理解和控制，并有助于加速高临界温度下新超导体的建模和发现。该奖项还支持各种教育和外展活动。PI将(i)在计算物理、数据科学和材料科学研究方面培训本科生和研究生，（ii）通过将研究与教学相结合，提供相应的跨学科课程，以及（iii）扩大代表性不足的STEM群体的参与，并为伯明翰高中和社区大学学生组织科学夏令营，以便让他们在STEM职业的早期阶段参与其中。该奖项反映了美国国家科学基金会的法定使命，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。

项目成果

Evolution of electronic and magnetic properties of Sr2IrO4 under strain

• DOI: 10.1038/s41535-022-00496-w
• 发表时间: 2022-09
• 期刊: npj Quantum Materials
• 影响因子: 5.7
• 作者: Ekaterina M. Pärschke;Wei-Chih Chen;R. Ray;Cheng-Chien Chen

Superconducting phases of the square-lattice extended Hubbard model

• DOI: 10.1103/physrevb.108.064514
• 发表时间: 2022-06
• 期刊: Physical Review B
• 影响因子: 3.7
• 作者: Wei-Chih Chen;Yao Wang;Cheng-Chien Chen

Structure prediction and materials design with generative neural networks

• DOI: 10.1038/s43588-023-00471-w
• 发表时间: 2023-07
• 期刊: Nature Computational Science
• 作者: D. Yan;Adam D. Smith;Cheng-Chien Chen

Machine learning the relationship between Debye temperature and superconducting transition temperature

• DOI: 10.1103/physrevb.108.174514
• 发表时间: 2023-05
• 期刊: Physical Review B
• 影响因子: 3.7
• 作者: Adam D. Smith;S. Harris;R. Camata;D. Yan;Cheng-Chien Chen

Dispersionless orbital excitations in (Li,Fe)OHFeSe superconductors

• DOI: 10.1038/s41535-022-00492-0
• 发表时间: 2022-08
• 期刊: npj Quantum Materials
• 影响因子: 5.7
• 作者: Qian Xiao;Wenliang Zhang;T. Asmara;Dong Li;Qizhi Li;Shi-Yue Zhang;Y. Tseng;Xiaoli Dong