{"title":"考虑深层界面阱态的 MFIS-NCFET 紧凑型模型","authors":"Xin Liu, Shaoman Peng, Heung Nung Lau, Xincheng Huang, Wanling Deng","doi":"10.1007/s10825-024-02194-1","DOIUrl":null,"url":null,"abstract":"<div><p>A direct current (DC) compact model for negative capacitance field-effect transistors (NCFETs) based on a metal-ferroelectric-insulator-semiconductor (MFIS) structure is proposed, considering the influence of deep-level interface trap states. To overcome the bottleneck problem of accurately and efficiently solving models, an explicit algorithm is developed, which is used to solve the complex Landau–Devonshire (LD) formula for the second-order phase transitions in physical models and the transcendental equation of trap density of states and surface potential. Compared with existing algorithms based on analytical surface potential, the new method does not require the numerical methods involving several iterations to obtain more accurate results, and the model can accurately reflect the opposite control effect of interface traps on surface potential and current under different ferroelectric (FE) thicknesses. The high precision of the model was verified through comprehensive numerical calculations and experimental data, indicating that the model can be effectively applied to circuit simulation design under low-power condition.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"23 5","pages":"945 - 956"},"PeriodicalIF":2.2000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compact model for MFIS-NCFETs considering deep-level interface trap states\",\"authors\":\"Xin Liu, Shaoman Peng, Heung Nung Lau, Xincheng Huang, Wanling Deng\",\"doi\":\"10.1007/s10825-024-02194-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A direct current (DC) compact model for negative capacitance field-effect transistors (NCFETs) based on a metal-ferroelectric-insulator-semiconductor (MFIS) structure is proposed, considering the influence of deep-level interface trap states. To overcome the bottleneck problem of accurately and efficiently solving models, an explicit algorithm is developed, which is used to solve the complex Landau–Devonshire (LD) formula for the second-order phase transitions in physical models and the transcendental equation of trap density of states and surface potential. Compared with existing algorithms based on analytical surface potential, the new method does not require the numerical methods involving several iterations to obtain more accurate results, and the model can accurately reflect the opposite control effect of interface traps on surface potential and current under different ferroelectric (FE) thicknesses. The high precision of the model was verified through comprehensive numerical calculations and experimental data, indicating that the model can be effectively applied to circuit simulation design under low-power condition.</p></div>\",\"PeriodicalId\":620,\"journal\":{\"name\":\"Journal of Computational Electronics\",\"volume\":\"23 5\",\"pages\":\"945 - 956\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Electronics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10825-024-02194-1\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-024-02194-1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Compact model for MFIS-NCFETs considering deep-level interface trap states
A direct current (DC) compact model for negative capacitance field-effect transistors (NCFETs) based on a metal-ferroelectric-insulator-semiconductor (MFIS) structure is proposed, considering the influence of deep-level interface trap states. To overcome the bottleneck problem of accurately and efficiently solving models, an explicit algorithm is developed, which is used to solve the complex Landau–Devonshire (LD) formula for the second-order phase transitions in physical models and the transcendental equation of trap density of states and surface potential. Compared with existing algorithms based on analytical surface potential, the new method does not require the numerical methods involving several iterations to obtain more accurate results, and the model can accurately reflect the opposite control effect of interface traps on surface potential and current under different ferroelectric (FE) thicknesses. The high precision of the model was verified through comprehensive numerical calculations and experimental data, indicating that the model can be effectively applied to circuit simulation design under low-power condition.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.