权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

DMREF: Collaborative research: Data driven discovery of synthesis pathways and distinguishing electronic phenomena of 1D van der Waals bonded solids

DMREF：协作研究：数据驱动的合成途径发现和区分一维范德华键合固体的电子现象

基本信息

批准号：
1921958
负责人：
Alexander Balandin
金额：
$ 112万
依托单位：
University of California-Riverside
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921958&HistoricalAwards=false
关键词：
DMREF Collaborative research Data driven

项目摘要

Non-technical Description: This project explores a recently discovered class of more than 400 materials that form one-dimensional wires of bonded atoms surrounded by a tubular, two-dimensional van der Waals gap avoiding any strong atomic bonds between wires. A combination of predictive computational techniques, chemical preparation, and physical characterization will be employed to identify a spectrum of scientifically and technologically important properties of these materials with a focus on electrical transport properties, mechanical response and stability, and phase transformations. This project aims to leverage a spectrum of data mining, machine learning, and materials property calculation techniques to accelerate the identification of the most promising subset of these 400 materials for synthesis and testing. The PIs will train the next generation of scientists and engineers by providing interdisciplinary research opportunities for undergraduate and graduate students with attention given to attracting those from underrepresented groups. Emphasis will be placed on training with respect to computationally-led and data-drive approaches to materials research. Specifically, undergraduate students will develop Java-based software for materials science and graduate students will host a podcast aimed at disseminating developments in data-driven computational science.Technical Description: Bulk crystals of graphite and other materials composed of 2-dimensional van der Waals (vdW) layers exhibit numerous important properties in the bulk that are preserved as the material is thinned to atomic thickness, e.g. the high electrical conductivity of graphene. This distinguishes them from native bulk materials that do not exhibit such vdW layered structure, such as copper, whose properties change dramatically as it is thinned below a few atomic layers. Unlike 2D layered materials, the 1-dimensional vdW materials of this project have received relatively little research attention, but are likely to exhibit many of the useful properties of their 2D counterparts. One hypothesis is that the presence of vdW gaps and the absence of dangling bonds and large single crystal domains inhibits carrier scattering at the surface of such materials and, thus, allows for electronic transport at a resistivity almost independent of wire cross section. Recent synthesis work by the project participants has revealed excellent transport properties of such materials when thinned to nanoscale cross sections, rivaling the favorable characteristics of the native bulk form of copper, with potential applications in the miniaturization of electronic devices. Another hypothesis is that these materials may be more likely to exhibit electronic or structural phase changes that can be engineered for low power electronic memories and other applications.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：该项目探索了最近发现的一类 400 多种材料，这些材料形成由键合原子组成的一维线，周围环绕着管状二维范德华间隙，避免线之间出现任何强原子键。将采用预测计算技术、化学制备和物理表征的组合来确定这些材料的一系列科学和技术上重要的特性，重点是电传输特性、机械响应和稳定性以及相变。该项目旨在利用一系列数据挖掘、机器学习和材料属性计算技术来加速识别这 400 种材料中最有希望用于合成和测试的子集。 PI 将通过为本科生和研究生提供跨学科研究机会来培训下一代科学家和工程师，并注重吸引来自代表性不足群体的研究。重点将放在以计算为主导和数据驱动的材料研究方法方面的培训。具体来说，本科生将开发基于 Java 的材料科学软件，研究生将主持一个播客，旨在传播数据驱动的计算科学的发展。技术描述：由二维范德华 (vdW) 层组成的石墨和其他材料的块状晶体在块体中表现出许多重要的特性，当材料减薄至原子厚度时，这些特性得以保留，例如石墨烯的高导电性。这将它们与不表现出这种 vdW 层状结构的原生块体材料（例如铜）区分开来，当铜变薄到几个原子层以下时，铜的性能会发生巨大变化。与 2D 层状材料不同，该项目的一维 vdW 材料受到的研究关注相对较少，但很可能表现出 2D 材料的许多有用特性。一种假设是，vdW 间隙的存在以及悬空键和大单晶域的不存在抑制了此类材料表面的载流子散射，因此允许以几乎独立于导线横截面的电阻率进行电子传输。项目参与者最近的合成工作揭示了此类材料在薄化至纳米级横截面时具有优异的传输性能，可与原生铜块的有利特性相媲美，并在电子设备的小型化中具有潜在的应用前景。另一个假设是，这些材料可能更有可能表现出电子或结构相变，可用于低功耗电子存储器和其他应用。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

One-dimensional van der Waals quantum materials

DOI：
10.1016/j.mattod.2022.03.015
发表时间：
2022-05-01
期刊：
MATERIALS TODAY
影响因子：
24.2
作者：
Balandin, Alexander A.;Kargar, Fariborz;Lake, Roger K.
通讯作者：
Lake, Roger K.

Quantum Composites with Charge‐Density‐Wave Fillers

具有电荷密度波填充物的量子复合材料

DOI：
10.1002/adma.202209708
发表时间：
2023
期刊：
Advanced Materials
影响因子：
29.4
作者：
Barani, Zahra;Geremew, Tekwam;Stokey, Megan;Sesing, Nicholas;Taheri, Maedeh;Hilfiker, Matthew J.;Kargar, Fariborz;Schubert, Mathias;Salguero, Tina T.;Balandin, Alexander A.
通讯作者：
Balandin, Alexander A.

Raman Spectroscopy of Quasi-One-Dimensional NbTe Weyl Semimetal Nanowires

准一维 NbTe Weyl 半金属纳米线的拉曼光谱