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High-yield indium-based wafer bonding for large-area multi-pixel optoelectronic probes for neuroscience

机译:用于神经科学的大面积多像素光电探针的高产率铟基晶圆键合

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This paper reports on the yield optimization of a wafer-level indium (In)-based bonding process for joining 4-inch sapphire and silicon (Si) wafers. The process allows to realize neural probes with integrated micro light-emitting diodes (μLED) for optogenetic applications. The sapphire substrates comprise 6-μm-thick gallium nitride (GaN)-based μLEDs with lateral dimensions down to 50×50 μm2, which are transferred by the In-based bonding process onto gold pads on a Si wafer with interconnecting leads. Challenges that needed to be addressed in this context were the patterning of In on top of the GaN structures and thermomechanical stress limiting the overall bonding yield. The first challenge was met using a bilayer lift-off process; the yield was optimized by using an analytical model supported by an experimental study systematically varying the bond metal thickness tIn and the normalized bond area Anorm = Apads/Awafer, where Apads and Awafer denote the total area of all bond pads on the wafer and the wafer area, respectively. The stress-induced rupture of bond interfaces is completely suppressed when tin ≥ 3 μm and Anorm ≥ 15%. The optimized In-based bonding process was successfully applied to realize 2D μLED arrays with high yield.
机译:本文报道了用于连接4英寸蓝宝石和硅(Si)晶圆的基于晶圆级铟(In)的键合工艺的成品率优化。该过程可以实现带有集成微发光二极管(μLED)的神经探针,用于光遗传学应用。蓝宝石基板包括6μm厚的氮化镓(GaN)型μLED,横向尺寸低至50×50μm2,这些LED通过基于In的键合工艺转移到带有互连引线的Si晶片上的金焊盘上。在这种情况下,需要解决的挑战是在GaN结构顶部形成In的图案以及限制整体键合良率的热机械应力。第一个挑战是使用双层剥离工艺解决的。通过使用由实验研究支持的分析模型来优化良率,该研究模型系统地改变了键合金属厚度tIn和归一化键合面积Anorm = Apads / Awafer,其中Apads和Awafer表示晶圆和晶圆上所有键合焊盘的总面积区域。当锡≥3μm和无主成分≥15%时,应力引起的粘结界面断裂被完全抑制。优化的基于In的键合工艺已成功应用于以高成品率实现2DμLED阵列。

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