{"title":"利用ALD填充高纵横比的寄生表面反应:一个随机动力学模型","authors":"T. Muneshwar, G. Shoute, D. Barlage, K. Cadien","doi":"10.1109/IEDM.2018.8614584","DOIUrl":null,"url":null,"abstract":"A scalable kinetic Monte-Carlo model (sKMC) of molecular transport for atomic layer deposition (ALD) for high aspect-ratio (AR) features is developed. Surface coverage is a critical parameter studied here in detail. The capabilities of the stochastic model provide insight into challenges in growing ALD films in high-AR via structures faced by the industry, including the effects of parasitic surface reactions resulting in poor coverage. Furthermore, we provide experimental results verifying the model's prediction by growing ALD SiNx, on high-AR via structures. By compensating for the processing errors corroborated by the model, we experimentally improved sidewall coverage from 70% to 92%.","PeriodicalId":152963,"journal":{"name":"2018 IEEE International Electron Devices Meeting (IEDM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Parasitic Surface Reactions in High-Aspect Ratio Via Filling using ALD: A Stochastic Kinetic Model\",\"authors\":\"T. Muneshwar, G. Shoute, D. Barlage, K. Cadien\",\"doi\":\"10.1109/IEDM.2018.8614584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A scalable kinetic Monte-Carlo model (sKMC) of molecular transport for atomic layer deposition (ALD) for high aspect-ratio (AR) features is developed. Surface coverage is a critical parameter studied here in detail. The capabilities of the stochastic model provide insight into challenges in growing ALD films in high-AR via structures faced by the industry, including the effects of parasitic surface reactions resulting in poor coverage. Furthermore, we provide experimental results verifying the model's prediction by growing ALD SiNx, on high-AR via structures. By compensating for the processing errors corroborated by the model, we experimentally improved sidewall coverage from 70% to 92%.\",\"PeriodicalId\":152963,\"journal\":{\"name\":\"2018 IEEE International Electron Devices Meeting (IEDM)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Electron Devices Meeting (IEDM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEDM.2018.8614584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Electron Devices Meeting (IEDM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEDM.2018.8614584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parasitic Surface Reactions in High-Aspect Ratio Via Filling using ALD: A Stochastic Kinetic Model
A scalable kinetic Monte-Carlo model (sKMC) of molecular transport for atomic layer deposition (ALD) for high aspect-ratio (AR) features is developed. Surface coverage is a critical parameter studied here in detail. The capabilities of the stochastic model provide insight into challenges in growing ALD films in high-AR via structures faced by the industry, including the effects of parasitic surface reactions resulting in poor coverage. Furthermore, we provide experimental results verifying the model's prediction by growing ALD SiNx, on high-AR via structures. By compensating for the processing errors corroborated by the model, we experimentally improved sidewall coverage from 70% to 92%.