{"title":"Sidewall defects in deep cryogenic Si etching in SF6/O2 plasma: a numerical simulation","authors":"M. Rudenko, A. Miakonkikh, D. Kurbat, V. Lukichev","doi":"10.1117/12.2522414","DOIUrl":null,"url":null,"abstract":"A model for the simulation of two-dimensional profile evolution during cryogenic Si etching in SF6/O2 plasma is proposed and implemented. It employs Monte-Carlo method for particle fluxes computation and cell-based representation of the profile. The model is tuned specifically for studying various profile defects of stochastic nature. To this end the state of a model cell is represented as the combination of states of several subcells, stochastically chosen on each particle-surface interaction, thus allowing to represent profile phenomena with high- resolution without compromising simulation performance. The model is verified by matching the simulation results with experimental data; good qualitative agreement is observed. Then it is used to investigate surface defects specific to high aspect ratio cryogenic etching. Among them are depth-dependent wall roughness, cavern formation, trench splitting and black silicon formation.","PeriodicalId":388511,"journal":{"name":"International Conference on Micro- and Nano-Electronics","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Micro- and Nano-Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2522414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A model for the simulation of two-dimensional profile evolution during cryogenic Si etching in SF6/O2 plasma is proposed and implemented. It employs Monte-Carlo method for particle fluxes computation and cell-based representation of the profile. The model is tuned specifically for studying various profile defects of stochastic nature. To this end the state of a model cell is represented as the combination of states of several subcells, stochastically chosen on each particle-surface interaction, thus allowing to represent profile phenomena with high- resolution without compromising simulation performance. The model is verified by matching the simulation results with experimental data; good qualitative agreement is observed. Then it is used to investigate surface defects specific to high aspect ratio cryogenic etching. Among them are depth-dependent wall roughness, cavern formation, trench splitting and black silicon formation.