Multiscale Computational Analysis of Nanoelectromechanical Systems (NEMS)

该奖项的研究目标是为纳米机电系统（NEMS）的多尺度耦合机电分析开发一种统一的方法。提出的方法包括对NEMS的力学和静电域的多尺度分析。在这种方法中，NEM结构通过自上而下的分层子结构分解分解为子结构。原子描述用于计算子结构中的机械正常模式和电子波函数，其中纳米效应，如表面效应，量子效应和电子-声子相互作用，是重要的。然后，通过多层分量模式综合（MCMS）技术将原子描述纳入机械和静电连续统理论中，生成用于自一致耦合机电分析的降阶系统。该方法将用于纳米机电器件的计算分析、设计和优化。将开发计算工具并向公众提供。如果成功，本研究结果将为准确高效的NEM结构多尺度多物理场分析提供一种新的方法，从而更好地理解和预测NEM的行为。本研究开发的计算工具将有助于未来NEMS产品的设计和优化。还将提供在线计算工具和网络课程，以实现远程在线模拟和学习。研究生和本科生将受益于多学科研究，并接触到各种工程和科学领域，如力学，电子学，固态物理，数值分析和计算机科学。学生为实现研究目标而进行的合作将为他们提供在不同技能的项目团队中互动的经验，并将对他们未来的职业生涯产生积极影响。

The research objective of this award is to develop a unified methodology for multiscale coupled electromechanical analysis of nanoelectromechanical systems (NEMS). The proposed approach consists of multiscale analyses for both mechanical and electrostatic domains of NEMS. In this approach, NEM structures are decomposed into substructures through a top-down hierarchical substructure decomposition. Atomistic descriptions are employed to compute the mechanical normal modes and electronic wave functions in the substructures where nano effects, such as surface effects, quantum effects and electron-phonon interactions, are significant. The atomistic descriptions are then incorporated into mechanical and electrostatic continuum theories through a multilevel component mode synthesis (MCMS) technique to generate a reduced-order system for self-consistent coupled electromechanical analysis. This methodology will be employed to perform computational analysis, design and optimization of nanoelectromechanical devices. Computational tools will be developed and provided to the public.If successful, the results of this research will provide a novel methodology for accurate and efficient multiscale multiphysics analysis of NEM structures to achieve better understanding and prediction of the behavior of NEMS. Computational tools developed in this research will facilitate the design and optimization of future NEMS products. Online computational tools and web courses will also be offered to enable remote online simulation and learning. Graduate and undergraduate students will benefit through the multidisciplinary research and gain exposure to a variety of engineering and scientific areas such as mechanics, electronics, solid state physics, numerical analysis and computer science. The collaboration of students to achieve the research goals will provide them experience in interacting within a project team of various skills and will positively impact their future careers.