Haolong You, Chengmin Chen, Krishnaswamy Nandakumar, Feipeng Cai, Lei Zhang, Jianzhi Li
{"title":"A Static, Multisubstrate, In Silico Reactor Design of the MOCVD Process for Uniform Growth of GaN Epitaxial Layers","authors":"Haolong You, Chengmin Chen, Krishnaswamy Nandakumar, Feipeng Cai, Lei Zhang, Jianzhi Li","doi":"10.1021/acsengineeringau.6c00043","DOIUrl":null,"url":null,"abstract":"<p>Gallium nitride (GaN)\r\nepitaxial film properties depend critically\r\non deposition uniformity and growth efficiency. While metal-organic\r\nchemical vapor deposition (MOCVD) is the dominant industrial technology,\r\ntraditional vertical rotating disk reactors generate complex centrifugal\r\nfields, edge vortices, and gas short-circuiting. These flow instabilities\r\ndegrade film purity, limit precursor utilization, and complicate process\r\ncontrol, creating bottlenecks for large-scale, high-throughput integration.\r\nTo address these limitations, a novel, rotation-free MOCVD reactor\r\narchitecture designed for high-capacity batch scale-up is proposed.\r\nBy eliminating the high-speed rotating susceptor (core moving component\r\nof traditional MOCVD) and adopting advanced structural flow control,\r\nthe proposed static chamber accommodates six symmetrically arranged\r\nstationary substrates, which removes centrifugal flow disturbances\r\ninduced by mechanical rotation. The system utilizes 12 independently\r\ndistributed annular inlets to deliver trimethylgallium (TMGa) and\r\nammonia (NH<sub>3</sub>) isolated by inert carrier gases (H<sub>2</sub>/N<sub>2</sub>), successfully eliminating gas-phase prereactions\r\nat the source. Such units can be stacked up to increase throughput.\r\nUsing an experimentally validated 3D multiphysics coupled model, the\r\nchamber height and exhaust outlet layout were optimized to suppress\r\nparasitic vortices. Numerical simulations demonstrate that the optimized\r\ndesign (75 mm chamber height) dramatically improves growth uniformity\r\n(GU) by 77.4% (from 0.04746 to 0.01074) compared to traditional rotating\r\nsystems, while slightly increasing the average growth rate (GR) to\r\n0.4774 μm/h. Furthermore, process parameter optimization (V/III\r\nratio = 700, substrate temperature = 1373 K) enhances the growth rate\r\nto 0.509 μm/h while maintaining excellent uniformity. This rotation-free,\r\nmultisubstrate design strategy offers a highly stable, low-complexity\r\nframework for next-generation, high-throughput semiconductor manufacturing\r\nequipment.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":"6 5","pages":"642–657"},"PeriodicalIF":9.0000,"publicationDate":"2026-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Engineering Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsengineeringau.6c00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/10 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
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.
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)