电迁移
材料科学
晶界
微电子
电子背散射衍射
各向异性
工程物理
焊接
凝聚态物理
粒度
纹理(宇宙学)
解耦(概率)
晶界扩散系数
电流密度
旋转(数学)
电阻率和电导率
各向同性
晶粒生长
晶界强化
扩散
复合材料
扭矩
原子扩散
热扩散率
电导率
剪切(物理)
纳米尺度
纳米技术
作者
Han Jiang,Yi Xu,Saranarayanan Ramachandran,Shuibao Liang
标识
DOI:10.1021/acsami.6c05588
摘要
As microelectronic devices continue to scale down, grain morphology and crystallographic orientation of solder interconnects within three-dimensional integrated circuits critically influence the reliability of advanced packaging. Grain rotation induced by high current densities during service alters microstructural evolution pathways and directional transport properties; however, quantitative mechanisms coupling electromigration, anisotropic diffusion, and crystallographic reorientation remain to be further elucidated. In this work, we develop a three-dimensional phase-field framework that integrates the Kobayashi–Warren–Carter model with electromigration-driven atomic transport and electron wind torque to predict grain evolution in Sn solder interconnects. The simulations indicate that anisotropic electrical conductivity and diffusivity promote selective grain rotation: grains initially misaligned with the current direction rotate by up to approximately 15° to align their low-resistivity a -axes with electron flow, whereas favorably oriented grains remain largely stable. By decoupling the effects of grain boundary migration and torque-induced rotation, we show that electron wind torque governs the reorientation dynamics, while electromigration primarily drives directional mass transport. The resulting texture evolution, marked by the gradual elimination of low-angle orientated grains and the emergence of preferred orientations, shows qualitative consistency with trends identified in previous electron backscatter diffraction observations. Furthermore, microstructure-driven current redistribution leads to measurable increases in overall interconnect conductivity during stressing, establishing a positive feedback mechanism that stabilizes the evolved texture. These findings provide a physically grounded computational framework for investigating electromigration-induced grain evolution and rotation mechanisms in next-generation heterogeneous integration and offer mechanistic insight into mitigating electromigration-induced failures through grain structure control.
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