Study on copper-to-copper bonding of three-dimensional integrated circuits using the quasicontinuum method

Author:

Nguyen Hoang-Giang,Wu Miao-Jing,Fang Te-HuaORCID

Abstract

Abstract Cu-Cu bonding presents an attractive approach to bottom-up manufacturing, facilitating nanoparticle production, linking, and restoration. The ramifications of varying bonding depths and orientations exhibit distinct characteristics. At the same time, investigations into the material composition of nanoscale bonded pairs involve scrutiny of atomic slippage, strain distribution, and the force-displacement profile. The methodology simulates the Cu-Cu bonding process by implementing the quasi-continuum (QC) approach, constituting a multifaceted mixed molecular dynamics technique integrating atomistic and continuum methods. The analysis of results reveals variations in the Contact effect induced by the four orientations, along with discrepancies in the atomic slippage observed in distinct directions. Notably, a pronounced distinction is discernible in the directional movement. Specifically, the strained regions on the flat surface of the lower substrate, characterized by the directionality of X[001]-Y[110], exhibit a notably broader range of atomic slip compared to regions strained by alternative orientations. Furthermore, the directional alignment of X[110]-Y[111] illustrates that irrespective of whether the lower substrate’s surface is flat or rough, the orientation of atomic slip diverges. In conclusion, our study employed a quasi-continuous method to explore the bonding efficacy of copper-to-copper interfaces on flat and irregular substrate surfaces. Through this approach, we scrutinized the distributions of strain, stress, average Newtonian force, and atom differential arrangement direction across different orientations.

Funder

National Science and Technology Council, Taiwan

Publisher

IOP Publishing

Reference52 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mechanical properties of AlCoCrCuFeNi high-entropy alloys using molecular dynamics and machine learning;Materials Science and Engineering: R: Reports;2024-09

2. Machining mechanism and residual stress of AlCuCrFeNi alloy;International Journal of Mechanical Sciences;2024-09

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