Collaborative Research: Connecting Mesoscale Dynamics of Metallic Films on Semiconductors to Nanoscale Phenomena

非技术摘要电子设备，如计算机和智能手机，是我们技术社会的核心。目前，这类设备是基于半导体技术的，这涉及到在金属和半导体之间进行电接触。通过研究和了解如何在半导体材料上沉积金属的细节，该项目将允许开发新的方法来生长低维纳米结构，例如极细的导线和非常薄的薄膜。该项目将观察材料生长特性的最先进实验与复杂的理论技术相结合，使用由数千万到数百万个原子组成的模型来探索支配所制造纳米结构的预测特性的物理原理。这些方法协同工作，将促进这些低维纳米结构的优化设计和创造。这种结构在制造未来的电子设备方面可能非常有用，从而保持美国在纳米技术方面的技术领先地位。参与该项目的学生不仅将在涉及金属-半导体接口的令人兴奋的研究领域获得深入的物理理解，还将与当地的K-12学生和教师开展外展活动，这些学生和PI们一直有互动，特别是通过美国物理学会物理教师教育联盟(APS PhysTEC)。所有PI定期指导本科生研究人员，并积极参与招募女性和代表不足的少数族裔学生，特别是通过APS桥梁计划。技术摘要该项目将研究几种金属在半导体系统上的生长机制。该项目的目标是控制低维(一维和二维)纳米结构的生长，阐明在这些系统中观察到的新颖而复杂的集体扩散行为，并了解量子行为如何影响外延生长，以促进新材料的优化设计和制造。我们将应用一套互补的实验和理论技术来系统地研究Ge和Si单晶表面上Ag、Au和Pb纳米结构的初始生长阶段和结构演变。通过扫描隧道显微镜(STM)和低能电子显微镜/衍射(LEEM/LEED)确定原子有序性和吸附原子结合位，以及形成岛的大小和形状，并与基于密度泛函理论(DFT)的模拟预测进行比较。数以百万计的原子的异常集体行为和量子尺寸效应(QSE)将被研究，以阐明机制的细节。扫描隧道谱(STS)和角度分辨光电子能谱(ARPES)将被用来测量局域态密度、k分辨能带结构和量子井态；这些结果将与DFT计算相比较，以了解控制纳米结构特征的因素，并描绘关于未来生长的基本机制和过程的物理图像。键序势(BOP)将被用于半导体表面金属的键序势(BOP)，并用于自学习动力学蒙特卡罗(SLKMC)模拟岛屿的生长和移动。这些大规模的模拟将提高对集体运动的物理起源的理解，并建议其他可能显示不寻常物理现象的实验系统。硅和锗材料的使用将使电子设备的技术应用得到快速发展。

Nontechnical AbstractElectronic devices, such as computers and smartphones, are at the heart of our technological society. Such devices currently are based on semiconductor technology, which involves making electrical contacts between metals and semiconductors. By studying and understanding the details of how metals can be deposited onto semiconductor materials, this project will allow the development of novel methods to grow low dimensional nanostructures, such as extremely thin wires and very thin films. The project connects state-of-the-art experiments to observe the growth properties of the materials with sophisticated theoretical techniques using models consisting of tens to millions of atoms to explore the physics governing the predicted properties of the fabricated nanostructures. Working in conjunction, these methods will facilitate the optimal design and creation of these low dimensional nanostructures. Such structures could be very useful in making future electronic devices, thus maintaining the technological leadership of the U.S. in nanotechnology. Students working on the project will not only gain in-depth physical understanding in the exciting research areas involving metal-semiconductor interfaces but also will engage in outreach activities with local K-12 students and teachers with whom the PIs have on-going interactions, especially through the American Physical Society Physics Teacher Education Coalition (APS PhysTEC). All PIs regularly mentor undergraduate researchers and are actively engaged in recruiting women and underrepresented minority students, particularly through the APS Bridge Program.Technical AbstractThis project will study the growth mechanisms of several metal on semiconductor systems. The objectives of this project are controlling the growth of low-dimensional (1D and 2D) nanostructures, elucidating the novel and complex collective diffusion behavior which has been observed for these systems, and understanding how quantum behavior can influence epitaxial growth in order to facilitate the optimal design and fabrication of novel materials. A complementary set of experimental and theoretical techniques will be applied to examine systematically the initial growth stages and structural evolution of Ag, Au, and Pb nanostructures on single crystal surfaces of Ge and Si. The atomic ordering and adatom binding sites, as well as sizes and shapes of formed islands, will be determined by scanning tunneling microscopy (STM) and low energy electron microscopy/diffraction (LEEM/LEED) and compared with predictions from density functional theory (DFT)-based simulations. Unusual collective behavior of millions of atoms and quantum size effects (QSE) will be investigated to elucidate details of the mechanisms. Scanning tunneling spectroscopy (STS) and angle-resolved photoemission spectroscopy (ARPES) will be used to measure local density of states, k-resolved band structure, and quantum well states; these results will be compared with DFT calculations to understand the factors controlling the nanostructure characteristics and to formulate the physical picture about the basic mechanisms and processes for future growth. Bond order potentials (BOP) will be determined for metals bound to semiconductor surfaces and used for self-learning kinetic Monte Carlo (SLKMC) simulations of the growth and movement of islands. These large-scale simulations will improve understanding of the physical origin of the collective motions and suggest additional experimental systems that may display unusual physical phenomena. The use of Si and Ge-based materials would enable rapid development of technological applications for electronic devices.