Collaborative Research: Novel Multiscale Computational Mathematics for Surface-Dominated Nanomaterials

合作研究：表面主导纳米材料的新型多尺度计算数学

• 批准号: 1310835
• 负责人: Mitchell Luskin
• 金额: $ 23.59万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1310835&HistoricalAwards=false
• 关键词: Collaborative; Research; Novel; Multiscale; Computational

Luskin1310835Park1310849 Through this collaborative proposal, the investigators develop numerical analysis and improved surface Cauchy-Born methods to ensure their reliability and improve their efficiency. The mechanical behavior and properties of nanomaterials is dominated by the effects of surfaces, whose effects become increasingly important with decreasing nanostructure size. Surfaces can cause unique, non-bulk mechanical properties, including elastic strengthening (i.e. smaller is stronger) and phase transformations, and can serve as the nucleation point for defects such as dislocations and twins. Major extensions of the numerical analysis of finite element methods for continuum elasticity and its coupling to atomistic models is required to enable the surface Cauchy-Born methods to accurately compute problems with surfaces (defects) and discrete surface microstructure, because the complex multi-well energy landscape of real nanostructures must be confronted. Many important future nanotechnologies, such as nanoscale resonant sensors, nanoelectromechanical systems (NEMS), and stretchable nanoelectronics, can be improved by a better understanding of how localized nanoscale surface effects impact their effective mechanical properties and reliability. In particular, the numerical analysis of surface Cauchy-Born methods improves the representation of the key atomic-scale surface physics that govern defect nucleation, elastic strengthening or softening, and the failure mechanisms of surface-dominated nanomaterials.

通过这一合作提案，研究人员开发了数值分析和改进的表面Cauchy-Born方法，以确保其可靠性并提高其效率。纳米材料的力学行为和性能主要受表面效应的影响，随着纳米结构尺寸的减小，表面效应变得越来越重要。表面可以产生独特的非体力学性能，包括弹性强化（即越小越强）和相变，并且可以作为位错和孪晶等缺陷的成核点。为了使表面Cauchy-Born方法能够准确地计算表面（缺陷）和离散表面微观结构问题，需要将连续弹性的有限元数值分析方法及其耦合到原子模型中，因为必须面对真实纳米结构复杂的多井能量景观。许多重要的未来纳米技术，如纳米级谐振传感器、纳米机电系统（NEMS）和可拉伸纳米电子学，可以通过更好地理解局部纳米级表面效应如何影响其有效的机械性能和可靠性来改进。特别是，表面Cauchy-Born方法的数值分析改善了控制缺陷成核、弹性强化或软化以及表面主导纳米材料失效机制的关键原子尺度表面物理的表征。