CAREER: Material Design Using Motifs Present in the Electron's Wavefunction
CAREER: Material Design Using Motifs Present in the Electron's Wavefunction
批准号:
1848074
负责人:
Sinisa Coh
金额:
$53.27万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-01-01 至 2023-12-31
中文摘要
该职业奖支持研究和教育,通过利用大量尚未系统研究的数据,为功能材料的计算设计开发新的框架。物质的大多数性质最终都由材料中电子的量子力学运动的复杂模式决定。目前,研究人员可以通过在现代计算机上数值求解一组定义明确的数学方程来精确地模拟电子的这种复杂运动。在许多情况下,求解这些方程所需的唯一输入信息是材料中原子核的近似位置。 然而,这样的建模最终产生了大量的信息,其中大部分在实践中仍然是未开发的。PI和他的团队将检查这些大量的数据,以搜索和发现控制物质行为的最基本的信息。在该项目的下一阶段,该团队将利用这些信息来建立一个创新和系统的策略,用于设计和发现新材料。作为该项目的一部分开发的软件将以开源形式提供给社区。该研究将与教育和推广工作紧密结合,以更好地理解大一学生和广大公众可能对物质属性的决定因素有先入为主的观念。这种理解将用于创建和传播课堂和公众参与的积极学习策略,旨在提高大学水平的学术成就,增加公众对材料科学的理解和欣赏,并激励更多的年轻人在STEM领域追求职业生涯。技术总结该职业生涯奖支持为计算设计开发新框架的研究和教育通过利用大量未经系统研究的数据来研究功能材料。解决控制物质性质的量子力学方程产生了大量的信息,其中大部分尚未探索。这个项目的第一个推力将能够提取基本的信息片段,电子波函数中的图案,这些图案控制着物质的行为。第二个重点将使用提取的图案,沿着原则的近视,对称,几何和拓扑,建立一个创新的和系统的战略计算材料的设计和发现。作为该项目一部分开发的软件将作为开放源码提供给社区。这项研究将与教育和推广工作紧密结合,以更好地理解大一学生和广大公众可能对物质性质的决定有什么先入为主的观念。这种理解将用于创建和传播课堂和公众参与的积极学习策略,旨在提高大学水平的学术成就,增加公众对材料科学的理解和欣赏,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。
英文摘要
NONTECHNICAL SUMMARY This CAREER award supports research and education towards developing a new framework for the computational design of functional materials by harnessing vast amounts of data that have not been examined systematically. Most properties of matter are ultimately governed by complex patterns of quantum mechanical motion of electrons in a material. At the present time, researchers can accurately model this complex motion of electrons by numerically solving a well-defined set of mathematical equations on a modern computer. In many cases, the only input information one needs to solve these equations are the approximate locations of the atomic nuclei in the material. However, such modeling produces as an end result a massive amount of information, most of which remains unexplored in practice. The PI and his team will examine these large amounts of data to search and discover the most essential bits of information that govern the behavior of matter. In the next stage of the project, the team will use this distilled information to establish an innovative and systematic strategy for designing and discovering novel materials. The software developed as part of the project will be made available to the community as open source.The research will be closely integrated with educational and outreach efforts to create a better understanding of preconceived notions that freshman students and the public at large may have about what determines the properties of matter. This understanding will be used to create and disseminate active learning strategies for the classroom and for engaging the public, aiming to improve academic achievement at the university level, increase the public's understanding and appreciation of materials science, and inspire more young people to pursue careers in STEM fields.TECHNICAL SUMMARY This CAREER award supports research and education towards developing a new framework for the computational design of functional materials by harnessing vast amounts of data that have not been examined systematically. Solving the quantum mechanical equations that govern properties of matter produces a massive amount of information, most of which remains unexplored. The first thrust of this project will enable extracting essential pieces of information, motifs in the electron's wave function, that govern the behavior of matter. The second thrust will use the extracted motifs, along with principles of nearsightedness, symmetry, geometry, and topology, to establish an innovative and systematic strategy for computational materials design and discovery. The software developed as part of the project will be made available to the community as open source. The research will be closely integrated with educational and outreach efforts to create a better understanding of preconceived notions that freshman students and the public at large may have about what determines the properties of matter. This understanding will be used to create and disseminate active learning strategies for the classroom and for engaging the public, aiming to improve academic achievement at the university level, increase the public's understanding and appreciation of materials science, and inspire more young people to pursue careers in STEM fields.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.
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DOI:
10.1103/physrevb.106.014410
发表时间:
2021-09
期刊:
Physical Review B
影响因子:
3.7
作者:
[V. Ortiz;Sinisa Coh;Richard B. Wilson]
通讯作者:
V. Ortiz;Sinisa Coh;Richard B. Wilson
DOI:
10.1103/physrevmaterials.5.106001
发表时间:
2021-03
期刊:
Physical Review Materials
影响因子:
3.4
作者:
[Kexin Liu;Xinping Shi;Frank Angeles;R. Mohan;J. Gorchon;Sinisa Coh;Richard B. Wilson]
通讯作者:
Kexin Liu;Xinping Shi;Frank Angeles;R. Mohan;J. Gorchon;Sinisa Coh;Richard B. Wilson
Nonadiabatic Born Effective Charges in Metals and the Drude Weight
金属中的非绝热有效电荷和德鲁德重量
DOI:
10.1103/physrevlett.128.095901
发表时间:
2022
期刊:
Physical Review Letters
影响因子:
8.6
作者:
[Dreyer, Cyrus E., Coh, Sinisa, Stengel, Massimiliano]
通讯作者:
Stengel, Massimiliano
DOI:
10.1103/physrevb.105.l081408
发表时间:
2022-02-14
期刊:
PHYSICAL REVIEW B
影响因子:
3.7
作者:
[Anderson,Paul, Huang,Yifan, Ojeda-Aristizabal,Claudia]
通讯作者:
Ojeda-Aristizabal,Claudia
DOI:
10.1103/physrevmaterials.4.075801
发表时间:
2020-07
期刊:
Physical Review Materials
影响因子:
3.4
作者:
[M. Lei;Sinisa Coh]
通讯作者:
M. Lei;Sinisa Coh
共 7 条
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