A Static, Multisubstrate, In Silico Reactor Design of the MOCVD Process for Uniform Growth of GaN Epitaxial Layers

IF 9 Q2 ENGINEERING, CHEMICAL
ACS Engineering Au Pub Date : 2026-10-21 Epub Date: 2026-09-10 DOI:10.1021/acsengineeringau.6c00043
Haolong You, Chengmin Chen, Krishnaswamy Nandakumar, Feipeng Cai, Lei Zhang, Jianzhi Li
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引用次数: 0

Abstract

Gallium nitride (GaN) epitaxial film properties depend critically on deposition uniformity and growth efficiency. While metal-organic chemical vapor deposition (MOCVD) is the dominant industrial technology, traditional vertical rotating disk reactors generate complex centrifugal fields, edge vortices, and gas short-circuiting. These flow instabilities degrade film purity, limit precursor utilization, and complicate process control, creating bottlenecks for large-scale, high-throughput integration. To address these limitations, a novel, rotation-free MOCVD reactor architecture designed for high-capacity batch scale-up is proposed. By eliminating the high-speed rotating susceptor (core moving component of traditional MOCVD) and adopting advanced structural flow control, the proposed static chamber accommodates six symmetrically arranged stationary substrates, which removes centrifugal flow disturbances induced by mechanical rotation. The system utilizes 12 independently distributed annular inlets to deliver trimethylgallium (TMGa) and ammonia (NH3) isolated by inert carrier gases (H2/N2), successfully eliminating gas-phase prereactions at the source. Such units can be stacked up to increase throughput. Using an experimentally validated 3D multiphysics coupled model, the chamber height and exhaust outlet layout were optimized to suppress parasitic vortices. Numerical simulations demonstrate that the optimized design (75 mm chamber height) dramatically improves growth uniformity (GU) by 77.4% (from 0.04746 to 0.01074) compared to traditional rotating systems, while slightly increasing the average growth rate (GR) to 0.4774 μm/h. Furthermore, process parameter optimization (V/III ratio = 700, substrate temperature = 1373 K) enhances the growth rate to 0.509 μm/h while maintaining excellent uniformity. This rotation-free, multisubstrate design strategy offers a highly stable, low-complexity framework for next-generation, high-throughput semiconductor manufacturing equipment.

用于GaN外延层均匀生长的MOCVD工艺的静态多衬底硅反应器设计
氮化镓(GaN)外延膜的性能主要取决于沉积均匀性和生长效率。虽然金属有机化学气相沉积(MOCVD)是占主导地位的工业技术,但传统的垂直旋转盘反应器会产生复杂的离心场、边缘涡和气体短路。这些流动不稳定降低了薄膜纯度,限制了前驱体的利用,并使过程控制复杂化,为大规模,高通量集成创造了瓶颈。为了解决这些限制,提出了一种新的、无旋转的MOCVD反应器结构,设计用于大容量批量放大。通过消除高速旋转的感受器(传统MOCVD的核心运动部件)和采用先进的结构流动控制,所提出的静态腔室可容纳6个对称排列的静止基板,从而消除了机械旋转引起的离心流动扰动。该系统利用12个独立分布的环形入口输送惰性载气(H2/N2)分离的三甲基镓(TMGa)和氨(NH3),成功地消除了源处的气相预反应。这样的单元可以堆叠起来以增加吞吐量。利用实验验证的三维多物理场耦合模型,优化了腔室高度和排气口布局,以抑制稀疏涡。数值模拟表明,与传统旋转系统相比,优化设计(75 mm腔高)显著提高了生长均匀度(GU) 77.4%(从0.04746提高到0.01074),平均生长速率(GR)略有提高,达到0.4774 μm/h。此外,优化工艺参数(V/IIIratio = 700,衬底温度= 1373 K)可使生长速率达到0.509 μm/h,同时保持良好的均匀性。这种无旋转的多基板设计策略为下一代高通量半导体制造设备提供了高度稳定、低复杂性的框架。
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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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